Overview

Dataset statistics

Number of variables263
Number of observations1000
Missing cells1228
Missing cells (%)0.5%
Total size in memory17.0 MiB
Average record size in memory17.4 KiB

Variable types

Numeric1
Text262

Alerts

year_ending has constant value ""Constant
national_median_energy_star has constant value ""Constant
kerosene_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
district_hot_water_use_kbtu has constant value ""Constant
difference_from_national_2 has constant value ""Constant
costar_property_id has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
convenience_store_with_gas has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median has constant value ""Constant
energy_power_station_gross has constant value ""Constant
outpatient_rehabilitation has constant value ""Constant
library_gross_floor_area has constant value ""Constant
mailing_center_post_office has constant value ""Constant
movie_theater_gross_floor has constant value ""Constant
repair_services_vehicle_shoe has constant value ""Constant
alert_property_has_no_uses has constant value ""Constant
convenience_store_with_gas_1 has constant value ""Constant
convenience_store_with_gas_2 has constant value ""Constant
difference_from_national_3 has constant value ""Constant
count_of_buildings has 897 (89.7%) missing valuesMissing
national_median_reference has 17 (1.7%) missing valuesMissing
borough has 44 (4.4%) missing valuesMissing
latitude has 45 (4.5%) missing valuesMissing
longitude has 45 (4.5%) missing valuesMissing
community_board has 45 (4.5%) missing valuesMissing
council_district has 45 (4.5%) missing valuesMissing
census_tract has 45 (4.5%) missing valuesMissing
nta has 45 (4.5%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:39:45.095759
Analysis finished2023-12-09 20:39:55.145330
Duration10.05 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:39:55.642524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:39:55.806948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:39:56.472822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.995
Min length4

Characters and Unicode

Total characters6995
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st row6215439
2nd row3619765
3rd row6202283
4th row6202292
5th row6202301
ValueCountFrequency (%)
2965595 2
 
0.2%
2779662 1
 
0.1%
5870281 1
 
0.1%
2945430 1
 
0.1%
2831151 1
 
0.1%
6187731 1
 
0.1%
5971651 1
 
0.1%
5989097 1
 
0.1%
5237895 1
 
0.1%
5220180 1
 
0.1%
Other values (989) 989
98.9%
2023-12-09T20:39:57.000958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 828
11.8%
9 788
11.3%
4 786
11.2%
6 741
10.6%
5 716
10.2%
3 691
9.9%
1 663
9.5%
8 631
9.0%
0 591
8.4%
7 560
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6995
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 828
11.8%
9 788
11.3%
4 786
11.2%
6 741
10.6%
5 716
10.2%
3 691
9.9%
1 663
9.5%
8 631
9.0%
0 591
8.4%
7 560
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 828
11.8%
9 788
11.3%
4 786
11.2%
6 741
10.6%
5 716
10.2%
3 691
9.9%
1 663
9.5%
8 631
9.0%
0 591
8.4%
7 560
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 828
11.8%
9 788
11.3%
4 786
11.2%
6 741
10.6%
5 716
10.2%
3 691
9.9%
1 663
9.5%
8 631
9.0%
0 591
8.4%
7 560
8.0%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size78.4 KiB
2023-12-09T20:39:57.460916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length74
Median length56
Mean length23.109
Min length2

Characters and Unicode

Total characters23109
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st rowSpring Creek Gardens
2nd rowCastle Hill Ave
3rd rowSTB044283 St Barnabas Nursing Home 4428 3rd Ave
4th rowSTB044003 St Barnabas Parking 4400 3rd Ave
5th rowSTB044873 St Barnabas Clinic 4487 3rd Ave
ValueCountFrequency (%)
street 171
 
4.4%
162
 
4.1%
avenue 105
 
2.7%
west 95
 
2.4%
ave 81
 
2.1%
llc 76
 
1.9%
st 68
 
1.7%
east 33
 
0.8%
realty 28
 
0.7%
new 27
 
0.7%
Other values (1605) 3071
78.4%
2023-12-09T20:39:58.122380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2927
 
12.7%
e 1687
 
7.3%
t 1187
 
5.1%
r 975
 
4.2%
a 818
 
3.5%
n 802
 
3.5%
o 762
 
3.3%
1 651
 
2.8%
S 580
 
2.5%
s 550
 
2.4%
Other values (66) 12170
52.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10516
45.5%
Uppercase Letter 5488
23.7%
Decimal Number 3368
 
14.6%
Space Separator 2929
 
12.7%
Dash Punctuation 354
 
1.5%
Other Punctuation 310
 
1.3%
Close Punctuation 69
 
0.3%
Open Punctuation 69
 
0.3%
Connector Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1687
16.0%
t 1187
11.3%
r 975
9.3%
a 818
 
7.8%
n 802
 
7.6%
o 762
 
7.2%
s 550
 
5.2%
i 549
 
5.2%
l 482
 
4.6%
d 339
 
3.2%
Other values (16) 2365
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 580
 
10.6%
A 521
 
9.5%
C 402
 
7.3%
E 365
 
6.7%
L 350
 
6.4%
I 313
 
5.7%
B 304
 
5.5%
R 292
 
5.3%
N 284
 
5.2%
T 261
 
4.8%
Other values (16) 1816
33.1%
Decimal Number
ValueCountFrequency (%)
1 651
19.3%
0 522
15.5%
2 372
11.0%
5 355
10.5%
3 340
10.1%
4 266
7.9%
8 238
 
7.1%
6 233
 
6.9%
7 219
 
6.5%
9 172
 
5.1%
Other Punctuation
ValueCountFrequency (%)
: 117
37.7%
/ 70
22.6%
. 58
18.7%
, 38
 
12.3%
& 18
 
5.8%
' 6
 
1.9%
# 2
 
0.6%
; 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2927
99.9%
  2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16004
69.3%
Common 7105
30.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1687
 
10.5%
t 1187
 
7.4%
r 975
 
6.1%
a 818
 
5.1%
n 802
 
5.0%
o 762
 
4.8%
S 580
 
3.6%
s 550
 
3.4%
i 549
 
3.4%
A 521
 
3.3%
Other values (42) 7573
47.3%
Common
ValueCountFrequency (%)
2927
41.2%
1 651
 
9.2%
0 522
 
7.3%
2 372
 
5.2%
5 355
 
5.0%
- 354
 
5.0%
3 340
 
4.8%
4 266
 
3.7%
8 238
 
3.3%
6 233
 
3.3%
Other values (14) 847
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23107
> 99.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2927
 
12.7%
e 1687
 
7.3%
t 1187
 
5.1%
r 975
 
4.2%
a 818
 
3.5%
n 802
 
3.5%
o 762
 
3.3%
1 651
 
2.8%
S 580
 
2.5%
s 550
 
2.4%
Other values (65) 12168
52.7%
None
ValueCountFrequency (%)
  2
100.0%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size86.4 KiB
2023-12-09T20:39:58.410291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length31.384
Min length5

Characters and Unicode

Total characters31384
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 871
24.1%
standalone 871
24.1%
property 871
24.1%
applicable 871
24.1%
4473965 5
 
0.1%
4473946 5
 
0.1%
4479068 5
 
0.1%
4474067 5
 
0.1%
5896351 5
 
0.1%
4473909 4
 
0.1%
Other values (36) 100
 
2.8%
2023-12-09T20:39:58.824790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2613
 
8.3%
2613
 
8.3%
p 2613
 
8.3%
l 2613
 
8.3%
a 2613
 
8.3%
e 2613
 
8.3%
o 2613
 
8.3%
n 1742
 
5.6%
r 1742
 
5.6%
S 871
 
2.8%
Other values (19) 8738
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23517
74.9%
Uppercase Letter 3484
 
11.1%
Space Separator 2613
 
8.3%
Decimal Number 899
 
2.9%
Other Punctuation 871
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2613
11.1%
p 2613
11.1%
l 2613
11.1%
a 2613
11.1%
e 2613
11.1%
o 2613
11.1%
n 1742
7.4%
r 1742
7.4%
y 871
 
3.7%
d 871
 
3.7%
Other values (3) 2613
11.1%
Decimal Number
ValueCountFrequency (%)
4 245
27.3%
7 127
14.1%
3 110
12.2%
9 91
 
10.1%
6 65
 
7.2%
5 57
 
6.3%
0 55
 
6.1%
2 53
 
5.9%
8 48
 
5.3%
1 48
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 871
25.0%
P 871
25.0%
N 871
25.0%
A 871
25.0%
Space Separator
ValueCountFrequency (%)
2613
100.0%
Other Punctuation
ValueCountFrequency (%)
: 871
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27001
86.0%
Common 4383
 
14.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2613
9.7%
p 2613
9.7%
l 2613
9.7%
a 2613
9.7%
e 2613
9.7%
o 2613
9.7%
n 1742
 
6.5%
r 1742
 
6.5%
S 871
 
3.2%
y 871
 
3.2%
Other values (7) 6097
22.6%
Common
ValueCountFrequency (%)
2613
59.6%
: 871
 
19.9%
4 245
 
5.6%
7 127
 
2.9%
3 110
 
2.5%
9 91
 
2.1%
6 65
 
1.5%
5 57
 
1.3%
0 55
 
1.3%
2 53
 
1.2%
Other values (2) 96
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2613
 
8.3%
2613
 
8.3%
p 2613
 
8.3%
l 2613
 
8.3%
a 2613
 
8.3%
e 2613
 
8.3%
o 2613
 
8.3%
n 1742
 
5.6%
r 1742
 
5.6%
S 871
 
2.8%
Other values (19) 8738
27.8%
Distinct43
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size89.6 KiB
2023-12-09T20:39:59.149977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length57
Median length35
Mean length34.644
Min length6

Characters and Unicode

Total characters34644
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
property 875
22.0%
not 871
21.9%
standalone 871
21.9%
applicable 871
21.9%
campus 99
 
2.5%
ii 17
 
0.4%
addition 15
 
0.4%
houses 9
 
0.2%
plaza 9
 
0.2%
jamaica 9
 
0.2%
Other values (95) 340
 
8.5%
2023-12-09T20:39:59.617562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2986
 
8.6%
o 2663
 
7.7%
e 2662
 
7.7%
a 2659
 
7.7%
t 2648
 
7.6%
p 2633
 
7.6%
l 2631
 
7.6%
r 1805
 
5.2%
n 1777
 
5.1%
S 1171
 
3.4%
Other values (54) 11009
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24019
69.3%
Uppercase Letter 6597
 
19.0%
Space Separator 2986
 
8.6%
Other Punctuation 1016
 
2.9%
Decimal Number 14
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 1171
17.8%
A 1150
17.4%
N 1054
16.0%
P 998
15.1%
I 287
 
4.4%
O 228
 
3.5%
E 213
 
3.2%
R 173
 
2.6%
U 167
 
2.5%
M 152
 
2.3%
Other values (16) 1004
15.2%
Lowercase Letter
ValueCountFrequency (%)
o 2663
11.1%
e 2662
11.1%
a 2659
11.1%
t 2648
11.0%
p 2633
11.0%
l 2631
11.0%
r 1805
7.5%
n 1777
7.4%
i 902
 
3.8%
y 890
 
3.7%
Other values (14) 2749
11.4%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
0 4
28.6%
1 2
14.3%
5 2
14.3%
8 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
: 872
85.8%
/ 127
 
12.5%
& 7
 
0.7%
. 5
 
0.5%
, 5
 
0.5%
Space Separator
ValueCountFrequency (%)
2986
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30616
88.4%
Common 4028
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2663
 
8.7%
e 2662
 
8.7%
a 2659
 
8.7%
t 2648
 
8.6%
p 2633
 
8.6%
l 2631
 
8.6%
r 1805
 
5.9%
n 1777
 
5.8%
S 1171
 
3.8%
A 1150
 
3.8%
Other values (40) 8817
28.8%
Common
ValueCountFrequency (%)
2986
74.1%
: 872
 
21.6%
/ 127
 
3.2%
& 7
 
0.2%
) 6
 
0.1%
( 6
 
0.1%
. 5
 
0.1%
, 5
 
0.1%
2 4
 
0.1%
0 4
 
0.1%
Other values (4) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2986
 
8.6%
o 2663
 
7.7%
e 2662
 
7.7%
a 2659
 
7.7%
t 2648
 
7.6%
p 2633
 
7.6%
l 2631
 
7.6%
r 1805
 
5.2%
n 1777
 
5.1%
S 1171
 
3.4%
Other values (54) 11009
31.8%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:39:59.805727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-12-31T00:00:00.000
2nd row2016-12-31T00:00:00.000
3rd row2016-12-31T00:00:00.000
4th row2016-12-31T00:00:00.000
5th row2016-12-31T00:00:00.000
ValueCountFrequency (%)
2016-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:40:00.329536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
6 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
6 1000
 
5.9%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
6 1000
 
4.5%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
6 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct935
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-09T20:40:00.548625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length165
Median length12
Mean length14.219
Min length10

Characters and Unicode

Total characters14219
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique891 ?
Unique (%)89.1%

Sample

1st row3-04516-7501
2nd row1-03573-0025
3rd row2-03064-0010
4th row2-03064-0100
5th row2-03051-0045
ValueCountFrequency (%)
not 15
 
1.4%
available 15
 
1.4%
2028760055 5
 
0.5%
4-15665-0001 4
 
0.4%
5001960001 4
 
0.4%
1018360001;1018550001 3
 
0.3%
3044520040 2
 
0.2%
1-01012-0042 2
 
0.2%
4-09342-0007 2
 
0.2%
2029010001;2029100001;2029020036;2029110001;2023900024 2
 
0.2%
Other values (941) 982
94.8%
2023-12-09T20:40:00.927701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4778
33.6%
1 1860
 
13.1%
- 1222
 
8.6%
2 1072
 
7.5%
3 1028
 
7.2%
4 858
 
6.0%
5 787
 
5.5%
7 658
 
4.6%
6 565
 
4.0%
8 453
 
3.2%
Other values (24) 938
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12482
87.8%
Dash Punctuation 1222
 
8.6%
Other Punctuation 273
 
1.9%
Lowercase Letter 172
 
1.2%
Space Separator 36
 
0.3%
Uppercase Letter 34
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 36
20.9%
l 31
18.0%
t 20
11.6%
o 17
9.9%
e 15
8.7%
b 15
8.7%
i 15
8.7%
v 15
8.7%
n 4
 
2.3%
h 2
 
1.2%
Other values (2) 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 4778
38.3%
1 1860
 
14.9%
2 1072
 
8.6%
3 1028
 
8.2%
4 858
 
6.9%
5 787
 
6.3%
7 658
 
5.3%
6 565
 
4.5%
8 453
 
3.6%
9 423
 
3.4%
Other Punctuation
ValueCountFrequency (%)
; 257
94.1%
, 6
 
2.2%
/ 6
 
2.2%
: 3
 
1.1%
& 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 15
44.1%
A 15
44.1%
M 2
 
5.9%
B 1
 
2.9%
L 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 1222
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14013
98.6%
Latin 206
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4778
34.1%
1 1860
 
13.3%
- 1222
 
8.7%
2 1072
 
7.7%
3 1028
 
7.3%
4 858
 
6.1%
5 787
 
5.6%
7 658
 
4.7%
6 565
 
4.0%
8 453
 
3.2%
Other values (7) 732
 
5.2%
Latin
ValueCountFrequency (%)
a 36
17.5%
l 31
15.0%
t 20
9.7%
o 17
8.3%
N 15
7.3%
e 15
7.3%
b 15
7.3%
i 15
7.3%
v 15
7.3%
A 15
7.3%
Other values (7) 12
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4778
33.6%
1 1860
 
13.1%
- 1222
 
8.6%
2 1072
 
7.5%
3 1028
 
7.2%
4 858
 
6.0%
5 787
 
5.5%
7 658
 
4.6%
6 565
 
4.0%
8 453
 
3.2%
Other values (24) 938
 
6.6%
Distinct909
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size83.3 KiB
2023-12-09T20:40:01.106996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2438
Median length7
Mean length28.166
Min length7

Characters and Unicode

Total characters28166
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique872 ?
Unique (%)87.2%

Sample

1st row3323063
2nd row2021926
3rd row2094221
4th row2118236
5th row2011594
ValueCountFrequency (%)
221
 
14.2%
not 51
 
3.3%
available 51
 
3.3%
2008816 5
 
0.3%
4452153 4
 
0.3%
3035499 2
 
0.1%
1015025 2
 
0.1%
4440851;4440854;4440852;4440853;4440855;4440856;4440839;4440849;4440850 2
 
0.1%
1012828;1083578;1083579;1083582;1083583;1012827 2
 
0.1%
2092682;2092683;2092684;2092685;2092686;2092687;2092688;2092689;2092690;2092691;2092692;2092693;2092694;2092695;2092696;2092697;2092727;2092728;2092729;2092730;2092731;2092732;2092733;2092734;2092735;2092736;2092737;2092738;2092739;2092740;2092741;2092742;2092743;2092744;2092745;2092746;2092747;2095238;2095239;2095240;2095241;2095242;2095243;2095244;2095245;2095246;2092604;2092605;2092608;2092610;2092611;2092638;2092647;2092649;2092651;2092652;2092654;2092656;2092659;2112985;2112986 2
 
0.1%
Other values (1181) 1210
78.0%
2023-12-09T20:40:01.458660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3606
12.8%
0 3451
12.3%
2 2983
10.6%
4 2781
9.9%
1 2740
9.7%
; 2507
8.9%
9 1906
6.8%
5 1881
6.7%
8 1847
6.6%
7 1718
6.1%
Other values (15) 2746
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24260
86.1%
Other Punctuation 2517
 
8.9%
Space Separator 597
 
2.1%
Lowercase Letter 510
 
1.8%
Control 176
 
0.6%
Uppercase Letter 102
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3606
14.9%
0 3451
14.2%
2 2983
12.3%
4 2781
11.5%
1 2740
11.3%
9 1906
7.9%
5 1881
7.8%
8 1847
7.6%
7 1718
7.1%
6 1347
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 102
20.0%
l 102
20.0%
o 51
10.0%
e 51
10.0%
b 51
10.0%
i 51
10.0%
v 51
10.0%
t 51
10.0%
Other Punctuation
ValueCountFrequency (%)
; 2507
99.6%
: 10
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 51
50.0%
A 51
50.0%
Space Separator
ValueCountFrequency (%)
597
100.0%
Control
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27554
97.8%
Latin 612
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3606
13.1%
0 3451
12.5%
2 2983
10.8%
4 2781
10.1%
1 2740
9.9%
; 2507
9.1%
9 1906
6.9%
5 1881
6.8%
8 1847
6.7%
7 1718
6.2%
Other values (5) 2134
7.7%
Latin
ValueCountFrequency (%)
a 102
16.7%
l 102
16.7%
N 51
8.3%
o 51
8.3%
e 51
8.3%
b 51
8.3%
i 51
8.3%
v 51
8.3%
A 51
8.3%
t 51
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3606
12.8%
0 3451
12.3%
2 2983
10.6%
4 2781
9.9%
1 2740
9.7%
; 2507
8.9%
9 1906
6.8%
5 1881
6.7%
8 1847
6.6%
7 1718
6.1%
Other values (15) 2746
9.7%

count_of_buildings
Text

MISSING 

Distinct32
Distinct (%)31.1%
Missing897
Missing (%)89.7%
Memory size34.1 KiB
2023-12-09T20:40:01.679684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.621359223
Min length1

Characters and Unicode

Total characters167
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)5.8%

Sample

1st row5
2nd row2
3rd row2
4th row5
5th row19
ValueCountFrequency (%)
10 7
 
6.8%
17 7
 
6.8%
1 7
 
6.8%
16 6
 
5.8%
2 6
 
5.8%
9 5
 
4.9%
5 5
 
4.9%
35 5
 
4.9%
4 5
 
4.9%
13 5
 
4.9%
Other values (22) 45
43.7%
2023-12-09T20:40:02.021122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 49
29.3%
3 22
13.2%
2 17
 
10.2%
5 16
 
9.6%
6 13
 
7.8%
9 12
 
7.2%
4 12
 
7.2%
7 11
 
6.6%
0 9
 
5.4%
8 6
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 167
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
29.3%
3 22
13.2%
2 17
 
10.2%
5 16
 
9.6%
6 13
 
7.8%
9 12
 
7.2%
4 12
 
7.2%
7 11
 
6.6%
0 9
 
5.4%
8 6
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 49
29.3%
3 22
13.2%
2 17
 
10.2%
5 16
 
9.6%
6 13
 
7.8%
9 12
 
7.2%
4 12
 
7.2%
7 11
 
6.6%
0 9
 
5.4%
8 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 49
29.3%
3 22
13.2%
2 17
 
10.2%
5 16
 
9.6%
6 13
 
7.8%
9 12
 
7.2%
4 12
 
7.2%
7 11
 
6.6%
0 9
 
5.4%
8 6
 
3.6%
Distinct936
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size73.3 KiB
2023-12-09T20:40:02.482604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length33
Mean length17.974
Min length4

Characters and Unicode

Total characters17974
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique896 ?
Unique (%)89.6%

Sample

1st row901-903 Drew Street
2nd row604 Castle Hill Ave
3rd row4428 3rd Ave
4th row4400 3rd Ave
5th row4487 3rd Avenue
ValueCountFrequency (%)
street 344
 
10.3%
avenue 245
 
7.3%
ave 118
 
3.5%
west 115
 
3.4%
st 88
 
2.6%
east 69
 
2.1%
road 29
 
0.9%
broadway 27
 
0.8%
w 26
 
0.8%
blvd 25
 
0.7%
Other values (1247) 2249
67.4%
2023-12-09T20:40:03.102907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2347
 
13.1%
e 1589
 
8.8%
t 1342
 
7.5%
1 821
 
4.6%
r 700
 
3.9%
0 547
 
3.0%
2 532
 
3.0%
S 525
 
2.9%
5 501
 
2.8%
n 486
 
2.7%
Other values (59) 8584
47.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7629
42.4%
Decimal Number 4326
24.1%
Uppercase Letter 3318
18.5%
Space Separator 2347
 
13.1%
Dash Punctuation 247
 
1.4%
Other Punctuation 105
 
0.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 525
15.8%
A 459
13.8%
E 422
12.7%
W 203
 
6.1%
T 197
 
5.9%
R 189
 
5.7%
N 159
 
4.8%
B 139
 
4.2%
U 113
 
3.4%
L 110
 
3.3%
Other values (16) 802
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 1589
20.8%
t 1342
17.6%
r 700
9.2%
n 486
 
6.4%
a 484
 
6.3%
v 376
 
4.9%
s 371
 
4.9%
h 337
 
4.4%
o 326
 
4.3%
u 281
 
3.7%
Other values (15) 1337
17.5%
Decimal Number
ValueCountFrequency (%)
1 821
19.0%
0 547
12.6%
2 532
12.3%
5 501
11.6%
3 466
10.8%
4 367
8.5%
6 305
 
7.1%
8 303
 
7.0%
7 244
 
5.6%
9 240
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 71
67.6%
, 21
 
20.0%
/ 12
 
11.4%
& 1
 
1.0%
Space Separator
ValueCountFrequency (%)
2347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10947
60.9%
Common 7027
39.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1589
 
14.5%
t 1342
 
12.3%
r 700
 
6.4%
S 525
 
4.8%
n 486
 
4.4%
a 484
 
4.4%
A 459
 
4.2%
E 422
 
3.9%
v 376
 
3.4%
s 371
 
3.4%
Other values (41) 4193
38.3%
Common
ValueCountFrequency (%)
2347
33.4%
1 821
 
11.7%
0 547
 
7.8%
2 532
 
7.6%
5 501
 
7.1%
3 466
 
6.6%
4 367
 
5.2%
6 305
 
4.3%
8 303
 
4.3%
- 247
 
3.5%
Other values (8) 591
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2347
 
13.1%
e 1589
 
8.8%
t 1342
 
7.5%
1 821
 
4.6%
r 700
 
3.9%
0 547
 
3.0%
2 532
 
3.0%
S 525
 
2.9%
5 501
 
2.8%
n 486
 
2.7%
Other values (59) 8584
47.8%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:40:03.375790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length28
Median length13
Mean length13.098
Min length8

Characters and Unicode

Total characters13098
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
48.3%
available 977
48.3%
avenue 7
 
0.3%
blvd 4
 
0.2%
2583 2
 
0.1%
francis 2
 
0.1%
lewis 2
 
0.1%
metropolitan 2
 
0.1%
st 2
 
0.1%
foster 2
 
0.1%
Other values (43) 44
 
2.2%
2023-12-09T20:40:03.815464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1968
15.0%
l 1966
15.0%
1021
7.8%
e 1015
7.7%
t 1001
7.6%
o 996
7.6%
v 988
7.5%
i 988
7.5%
A 986
7.5%
N 979
7.5%
Other values (40) 1190
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9998
76.3%
Uppercase Letter 2001
 
15.3%
Space Separator 1021
 
7.8%
Decimal Number 67
 
0.5%
Dash Punctuation 8
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1968
19.7%
l 1966
19.7%
e 1015
10.2%
t 1001
10.0%
o 996
10.0%
v 988
9.9%
i 988
9.9%
b 978
9.8%
n 20
 
0.2%
r 18
 
0.2%
Other values (13) 60
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 986
49.3%
N 979
48.9%
B 6
 
0.3%
S 6
 
0.3%
M 5
 
0.2%
F 5
 
0.2%
E 2
 
0.1%
W 2
 
0.1%
P 2
 
0.1%
L 2
 
0.1%
Other values (4) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
3 15
22.4%
0 12
17.9%
1 11
16.4%
5 9
13.4%
2 7
10.4%
4 5
 
7.5%
8 4
 
6.0%
6 2
 
3.0%
9 1
 
1.5%
7 1
 
1.5%
Space Separator
ValueCountFrequency (%)
1021
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11999
91.6%
Common 1099
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1968
16.4%
l 1966
16.4%
e 1015
8.5%
t 1001
8.3%
o 996
8.3%
v 988
8.2%
i 988
8.2%
A 986
8.2%
N 979
8.2%
b 978
8.2%
Other values (27) 134
 
1.1%
Common
ValueCountFrequency (%)
1021
92.9%
3 15
 
1.4%
0 12
 
1.1%
1 11
 
1.0%
5 9
 
0.8%
- 8
 
0.7%
2 7
 
0.6%
4 5
 
0.5%
8 4
 
0.4%
. 3
 
0.3%
Other values (3) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1968
15.0%
l 1966
15.0%
1021
7.8%
e 1015
7.7%
t 1001
7.6%
o 996
7.6%
v 988
7.5%
i 988
7.5%
A 986
7.5%
N 979
7.5%
Other values (40) 1190
9.1%

city
Text

Distinct55
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T20:40:04.044688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length16
Median length8
Mean length7.72
Min length2

Characters and Unicode

Total characters7720
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowBrooklyn
2nd rowBronx
3rd rowBronx
4th rowBronx
5th rowBronx
ValueCountFrequency (%)
new 314
22.5%
york 313
22.4%
brooklyn 228
16.3%
bronx 139
10.0%
queens 86
 
6.2%
manhattan 60
 
4.3%
jamaica 41
 
2.9%
island 37
 
2.7%
flushing 27
 
1.9%
staten 23
 
1.6%
Other values (33) 127
9.1%
2023-12-09T20:40:04.415142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 850
 
11.0%
r 636
 
8.2%
n 536
 
6.9%
e 518
 
6.7%
k 507
 
6.6%
N 479
 
6.2%
395
 
5.1%
B 361
 
4.7%
Y 360
 
4.7%
w 318
 
4.1%
Other values (40) 2760
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5086
65.9%
Uppercase Letter 2238
29.0%
Space Separator 395
 
5.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 479
21.4%
B 361
16.1%
Y 360
16.1%
A 125
 
5.6%
O 118
 
5.3%
R 87
 
3.9%
T 87
 
3.9%
Q 87
 
3.9%
M 68
 
3.0%
L 68
 
3.0%
Other values (15) 398
17.8%
Lowercase Letter
ValueCountFrequency (%)
o 850
16.7%
r 636
12.5%
n 536
10.5%
e 518
10.2%
k 507
10.0%
w 318
 
6.3%
a 288
 
5.7%
l 261
 
5.1%
y 216
 
4.2%
s 175
 
3.4%
Other values (13) 781
15.4%
Space Separator
ValueCountFrequency (%)
395
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7324
94.9%
Common 396
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 850
 
11.6%
r 636
 
8.7%
n 536
 
7.3%
e 518
 
7.1%
k 507
 
6.9%
N 479
 
6.5%
B 361
 
4.9%
Y 360
 
4.9%
w 318
 
4.3%
a 288
 
3.9%
Other values (38) 2471
33.7%
Common
ValueCountFrequency (%)
395
99.7%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 850
 
11.0%
r 636
 
8.2%
n 536
 
6.9%
e 518
 
6.7%
k 507
 
6.6%
N 479
 
6.2%
395
 
5.1%
B 361
 
4.7%
Y 360
 
4.7%
w 318
 
4.1%
Other values (40) 2760
35.8%

county
Text

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:40:04.620787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.195
Min length2

Characters and Unicode

Total characters12195
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 885
46.3%
available 885
46.3%
usa 28
 
1.5%
kings 25
 
1.3%
queens 25
 
1.3%
new 20
 
1.0%
york 20
 
1.0%
united 6
 
0.3%
states 6
 
0.3%
manhattan 5
 
0.3%
Other values (5) 8
 
0.4%
2023-12-09T20:40:04.931719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.7%
l 1770
14.5%
e 961
7.9%
i 917
7.5%
t 915
7.5%
913
7.5%
o 912
7.5%
A 912
7.5%
N 910
7.5%
v 885
7.3%
Other values (27) 1308
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9302
76.3%
Uppercase Letter 1980
 
16.2%
Space Separator 913
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1792
19.3%
l 1770
19.0%
e 961
10.3%
i 917
9.9%
t 915
9.8%
o 912
9.8%
v 885
9.5%
b 885
9.5%
n 69
 
0.7%
s 53
 
0.6%
Other values (12) 143
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 912
46.1%
N 910
46.0%
S 37
 
1.9%
U 36
 
1.8%
K 22
 
1.1%
Q 22
 
1.1%
Y 21
 
1.1%
E 6
 
0.3%
M 5
 
0.3%
B 3
 
0.2%
Other values (4) 6
 
0.3%
Space Separator
ValueCountFrequency (%)
913
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11282
92.5%
Common 913
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1792
15.9%
l 1770
15.7%
e 961
8.5%
i 917
8.1%
t 915
8.1%
o 912
8.1%
A 912
8.1%
N 910
8.1%
v 885
7.8%
b 885
7.8%
Other values (26) 423
 
3.7%
Common
ValueCountFrequency (%)
913
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.7%
l 1770
14.5%
e 961
7.9%
i 917
7.5%
t 915
7.5%
913
7.5%
o 912
7.5%
A 912
7.5%
N 910
7.5%
v 885
7.3%
Other values (27) 1308
10.7%
Distinct173
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:40:05.289967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.043
Min length5

Characters and Unicode

Total characters5043
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)4.5%

Sample

1st row11208
2nd row10473
3rd row10457
4th row10457
5th row10457
ValueCountFrequency (%)
10001 32
 
3.2%
10016 26
 
2.6%
10019 25
 
2.5%
11432 23
 
2.3%
11101 22
 
2.2%
10011 21
 
2.1%
10018 20
 
2.0%
11201 17
 
1.7%
10003 17
 
1.7%
11235 17
 
1.7%
Other values (163) 780
78.0%
2023-12-09T20:40:05.778281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1869
37.1%
0 1184
23.5%
2 474
 
9.4%
3 426
 
8.4%
4 295
 
5.8%
5 220
 
4.4%
6 203
 
4.0%
7 167
 
3.3%
8 109
 
2.2%
9 94
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5041
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1869
37.1%
0 1184
23.5%
2 474
 
9.4%
3 426
 
8.5%
4 295
 
5.9%
5 220
 
4.4%
6 203
 
4.0%
7 167
 
3.3%
8 109
 
2.2%
9 94
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5043
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1869
37.1%
0 1184
23.5%
2 474
 
9.4%
3 426
 
8.4%
4 295
 
5.8%
5 220
 
4.4%
6 203
 
4.0%
7 167
 
3.3%
8 109
 
2.2%
9 94
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1869
37.1%
0 1184
23.5%
2 474
 
9.4%
3 426
 
8.4%
4 295
 
5.8%
5 220
 
4.4%
6 203
 
4.0%
7 167
 
3.3%
8 109
 
2.2%
9 94
 
1.9%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
2023-12-09T20:40:06.032911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.759
Min length5

Characters and Unicode

Total characters16759
Distinct characters49
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowMultifamily Housing
2nd rowRetail Store
3rd rowResidential Care Facility
4th rowParking
5th rowUrgent Care/Clinic/Other Outpatient
ValueCountFrequency (%)
multifamily 598
31.7%
housing 598
31.7%
office 145
 
7.7%
hotel 41
 
2.2%
warehouse 29
 
1.5%
other 26
 
1.4%
non-refrigerated 25
 
1.3%
k-12 24
 
1.3%
school 24
 
1.3%
facility 24
 
1.3%
Other values (53) 355
18.8%
2023-12-09T20:40:06.432731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2263
 
13.5%
l 1478
 
8.8%
u 1311
 
7.8%
f 939
 
5.6%
t 913
 
5.4%
a 894
 
5.3%
889
 
5.3%
o 877
 
5.2%
n 789
 
4.7%
s 714
 
4.3%
Other values (39) 5692
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13725
81.9%
Uppercase Letter 1944
 
11.6%
Space Separator 889
 
5.3%
Dash Punctuation 70
 
0.4%
Other Punctuation 57
 
0.3%
Decimal Number 48
 
0.3%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2263
16.5%
l 1478
10.8%
u 1311
9.6%
f 939
 
6.8%
t 913
 
6.7%
a 894
 
6.5%
o 877
 
6.4%
n 789
 
5.7%
s 714
 
5.2%
g 690
 
5.0%
Other values (12) 2857
20.8%
Uppercase Letter
ValueCountFrequency (%)
H 663
34.1%
M 653
33.6%
O 173
 
8.9%
S 106
 
5.5%
R 65
 
3.3%
C 60
 
3.1%
W 36
 
1.9%
P 32
 
1.6%
F 29
 
1.5%
N 25
 
1.3%
Other values (9) 102
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 44
77.2%
& 13
 
22.8%
Decimal Number
ValueCountFrequency (%)
1 24
50.0%
2 24
50.0%
Space Separator
ValueCountFrequency (%)
889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15669
93.5%
Common 1090
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2263
14.4%
l 1478
 
9.4%
u 1311
 
8.4%
f 939
 
6.0%
t 913
 
5.8%
a 894
 
5.7%
o 877
 
5.6%
n 789
 
5.0%
s 714
 
4.6%
g 690
 
4.4%
Other values (31) 4801
30.6%
Common
ValueCountFrequency (%)
889
81.6%
- 70
 
6.4%
/ 44
 
4.0%
1 24
 
2.2%
2 24
 
2.2%
& 13
 
1.2%
) 13
 
1.2%
( 13
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2263
 
13.5%
l 1478
 
8.8%
u 1311
 
7.8%
f 939
 
5.6%
t 913
 
5.4%
a 894
 
5.3%
889
 
5.3%
o 877
 
5.2%
n 789
 
4.7%
s 714
 
4.3%
Other values (39) 5692
34.0%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size72.1 KiB
2023-12-09T20:40:06.683939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.671
Min length5

Characters and Unicode

Total characters16671
Distinct characters49
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowMultifamily Housing
2nd rowRetail Store
3rd rowResidential Care Facility
4th rowParking
5th rowUrgent Care/Clinic/Other Outpatient
ValueCountFrequency (%)
multifamily 594
31.6%
housing 594
31.6%
office 144
 
7.7%
hotel 40
 
2.1%
other 34
 
1.8%
warehouse 29
 
1.5%
25
 
1.3%
non-refrigerated 25
 
1.3%
school 24
 
1.3%
k-12 24
 
1.3%
Other values (52) 348
18.5%
2023-12-09T20:40:07.082337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2243
 
13.5%
l 1476
 
8.9%
u 1300
 
7.8%
f 931
 
5.6%
t 914
 
5.5%
a 897
 
5.4%
881
 
5.3%
o 869
 
5.2%
n 784
 
4.7%
s 706
 
4.2%
Other values (39) 5670
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13651
81.9%
Uppercase Letter 1936
 
11.6%
Space Separator 881
 
5.3%
Dash Punctuation 70
 
0.4%
Other Punctuation 59
 
0.4%
Decimal Number 48
 
0.3%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2243
16.4%
l 1476
10.8%
u 1300
9.5%
f 931
 
6.8%
t 914
 
6.7%
a 897
 
6.6%
o 869
 
6.4%
n 784
 
5.7%
s 706
 
5.2%
g 687
 
5.0%
Other values (12) 2844
20.8%
Uppercase Letter
ValueCountFrequency (%)
H 658
34.0%
M 647
33.4%
O 180
 
9.3%
S 104
 
5.4%
R 68
 
3.5%
C 56
 
2.9%
W 35
 
1.8%
P 30
 
1.5%
N 28
 
1.4%
F 27
 
1.4%
Other values (9) 103
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 46
78.0%
& 13
 
22.0%
Decimal Number
ValueCountFrequency (%)
2 24
50.0%
1 24
50.0%
Space Separator
ValueCountFrequency (%)
881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15587
93.5%
Common 1084
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2243
14.4%
l 1476
 
9.5%
u 1300
 
8.3%
f 931
 
6.0%
t 914
 
5.9%
a 897
 
5.8%
o 869
 
5.6%
n 784
 
5.0%
s 706
 
4.5%
g 687
 
4.4%
Other values (31) 4780
30.7%
Common
ValueCountFrequency (%)
881
81.3%
- 70
 
6.5%
/ 46
 
4.2%
2 24
 
2.2%
1 24
 
2.2%
& 13
 
1.2%
) 13
 
1.2%
( 13
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16671
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2243
 
13.5%
l 1476
 
8.9%
u 1300
 
7.8%
f 931
 
5.6%
t 914
 
5.5%
a 897
 
5.4%
881
 
5.3%
o 869
 
5.2%
n 784
 
4.7%
s 706
 
4.2%
Other values (39) 5670
34.0%
Distinct29
Distinct (%)3.0%
Missing17
Missing (%)1.7%
Memory size89.4 KiB
2023-12-09T20:40:07.301712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length40
Mean length35.40590031
Min length13

Characters and Unicode

Total characters34804
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowFannie Mae Industry Survey - Multifamily
2nd rowCBECS - Retail Store
3rd rowCBECS - Nursing
4th rowCBECS - Clinic/Outpatient
5th rowCBECS - Medical Office
ValueCountFrequency (%)
1219
22.7%
fannie 594
11.1%
industry 594
11.1%
survey 594
11.1%
multifamily 594
11.1%
mae 594
11.1%
cbecs 385
 
7.2%
office 144
 
2.7%
bank/financial 137
 
2.5%
warehouse 42
 
0.8%
Other values (43) 477
 
8.9%
2023-12-09T20:40:07.649336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4391
 
12.6%
e 2532
 
7.3%
i 2501
 
7.2%
n 2476
 
7.1%
a 2407
 
6.9%
u 1887
 
5.4%
y 1826
 
5.2%
t 1585
 
4.6%
r 1579
 
4.5%
l 1572
 
4.5%
Other values (33) 12048
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23069
66.3%
Uppercase Letter 5910
 
17.0%
Space Separator 4391
 
12.6%
Dash Punctuation 980
 
2.8%
Other Punctuation 454
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2532
11.0%
i 2501
10.8%
n 2476
10.7%
a 2407
10.4%
u 1887
8.2%
y 1826
7.9%
t 1585
6.9%
r 1579
6.8%
l 1572
6.8%
f 924
 
4.0%
Other values (11) 3780
16.4%
Uppercase Letter
ValueCountFrequency (%)
M 1274
21.6%
S 1050
17.8%
C 808
13.7%
F 734
12.4%
I 647
10.9%
B 522
8.8%
E 415
 
7.0%
O 180
 
3.0%
H 78
 
1.3%
W 46
 
0.8%
Other values (8) 156
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 239
52.6%
/ 215
47.4%
Space Separator
ValueCountFrequency (%)
4391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28979
83.3%
Common 5825
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2532
 
8.7%
i 2501
 
8.6%
n 2476
 
8.5%
a 2407
 
8.3%
u 1887
 
6.5%
y 1826
 
6.3%
t 1585
 
5.5%
r 1579
 
5.4%
l 1572
 
5.4%
M 1274
 
4.4%
Other values (29) 9340
32.2%
Common
ValueCountFrequency (%)
4391
75.4%
- 980
 
16.8%
& 239
 
4.1%
/ 215
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4391
 
12.6%
e 2532
 
7.3%
i 2501
 
7.2%
n 2476
 
7.1%
a 2407
 
6.9%
u 1887
 
5.4%
y 1826
 
5.2%
t 1585
 
4.6%
r 1579
 
4.5%
l 1572
 
4.5%
Other values (33) 12048
34.6%
Distinct149
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
2023-12-09T20:40:07.934026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length271
Median length223
Mean length22.248
Min length5

Characters and Unicode

Total characters22248
Distinct characters52
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)9.5%

Sample

1st rowMultifamily Housing
2nd rowRetail Store
3rd rowResidential Care Facility
4th rowParking
5th rowUrgent Care/Clinic/Other Outpatient
ValueCountFrequency (%)
multifamily 602
23.8%
housing 602
23.8%
office 214
 
8.5%
store 113
 
4.5%
parking 101
 
4.0%
retail 100
 
4.0%
other 87
 
3.4%
hotel 45
 
1.8%
44
 
1.7%
medical 43
 
1.7%
Other values (73) 578
22.9%
2023-12-09T20:40:08.387094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2646
 
11.9%
l 1664
 
7.5%
1529
 
6.9%
u 1390
 
6.2%
t 1322
 
5.9%
a 1310
 
5.9%
e 1195
 
5.4%
f 1095
 
4.9%
o 1075
 
4.8%
n 1031
 
4.6%
Other values (42) 7991
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17413
78.3%
Uppercase Letter 2607
 
11.7%
Space Separator 1529
 
6.9%
Other Punctuation 502
 
2.3%
Dash Punctuation 109
 
0.5%
Decimal Number 58
 
0.3%
Open Punctuation 15
 
0.1%
Close Punctuation 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2646
15.2%
l 1664
9.6%
u 1390
 
8.0%
t 1322
 
7.6%
a 1310
 
7.5%
e 1195
 
6.9%
f 1095
 
6.3%
o 1075
 
6.2%
n 1031
 
5.9%
g 822
 
4.7%
Other values (12) 3863
22.2%
Uppercase Letter
ValueCountFrequency (%)
H 676
25.9%
M 667
25.6%
O 305
11.7%
S 233
 
8.9%
R 207
 
7.9%
P 130
 
5.0%
C 80
 
3.1%
F 66
 
2.5%
W 54
 
2.1%
N 37
 
1.4%
Other values (10) 152
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 408
81.3%
/ 79
 
15.7%
& 13
 
2.6%
. 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 29
50.0%
2 29
50.0%
Space Separator
ValueCountFrequency (%)
1529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20020
90.0%
Common 2228
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2646
13.2%
l 1664
 
8.3%
u 1390
 
6.9%
t 1322
 
6.6%
a 1310
 
6.5%
e 1195
 
6.0%
f 1095
 
5.5%
o 1075
 
5.4%
n 1031
 
5.1%
g 822
 
4.1%
Other values (32) 6470
32.3%
Common
ValueCountFrequency (%)
1529
68.6%
, 408
 
18.3%
- 109
 
4.9%
/ 79
 
3.5%
1 29
 
1.3%
2 29
 
1.3%
( 15
 
0.7%
) 15
 
0.7%
& 13
 
0.6%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2646
 
11.9%
l 1664
 
7.5%
1529
 
6.9%
u 1390
 
6.2%
t 1322
 
5.9%
a 1310
 
5.9%
e 1195
 
5.4%
f 1095
 
4.9%
o 1075
 
4.8%
n 1031
 
4.6%
Other values (42) 7991
35.9%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size72.0 KiB
2023-12-09T20:40:08.918912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.643
Min length5

Characters and Unicode

Total characters16643
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowMultifamily Housing
2nd rowRetail Store
3rd rowResidential Care Facility
4th rowParking
5th rowUrgent Care/Clinic/Other Outpatient
ValueCountFrequency (%)
multifamily 595
31.8%
housing 595
31.8%
office 145
 
7.8%
hotel 41
 
2.2%
other 37
 
2.0%
warehouse 29
 
1.6%
27
 
1.4%
non-refrigerated 25
 
1.3%
k-12 24
 
1.3%
school 24
 
1.3%
Other values (50) 328
17.5%
2023-12-09T20:40:09.318879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2246
 
13.5%
l 1484
 
8.9%
u 1306
 
7.8%
f 934
 
5.6%
t 920
 
5.5%
a 903
 
5.4%
870
 
5.2%
o 865
 
5.2%
n 791
 
4.8%
s 700
 
4.2%
Other values (38) 5624
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13641
82.0%
Uppercase Letter 1925
 
11.6%
Space Separator 870
 
5.2%
Dash Punctuation 72
 
0.4%
Other Punctuation 61
 
0.4%
Decimal Number 48
 
0.3%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2246
16.5%
l 1484
10.9%
u 1306
9.6%
f 934
 
6.8%
t 920
 
6.7%
a 903
 
6.6%
o 865
 
6.3%
n 791
 
5.8%
s 700
 
5.1%
g 689
 
5.1%
Other values (11) 2803
20.5%
Uppercase Letter
ValueCountFrequency (%)
H 660
34.3%
M 637
33.1%
O 184
 
9.6%
S 109
 
5.7%
R 70
 
3.6%
C 57
 
3.0%
W 35
 
1.8%
N 28
 
1.5%
F 27
 
1.4%
K 24
 
1.2%
Other values (9) 94
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 48
78.7%
& 13
 
21.3%
Decimal Number
ValueCountFrequency (%)
1 24
50.0%
2 24
50.0%
Space Separator
ValueCountFrequency (%)
870
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15566
93.5%
Common 1077
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2246
14.4%
l 1484
 
9.5%
u 1306
 
8.4%
f 934
 
6.0%
t 920
 
5.9%
a 903
 
5.8%
o 865
 
5.6%
n 791
 
5.1%
s 700
 
4.5%
g 689
 
4.4%
Other values (30) 4728
30.4%
Common
ValueCountFrequency (%)
870
80.8%
- 72
 
6.7%
/ 48
 
4.5%
1 24
 
2.2%
2 24
 
2.2%
) 13
 
1.2%
& 13
 
1.2%
( 13
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2246
 
13.5%
l 1484
 
8.9%
u 1306
 
7.8%
f 934
 
5.6%
t 920
 
5.5%
a 903
 
5.4%
870
 
5.2%
o 865
 
5.2%
n 791
 
4.8%
s 700
 
4.2%
Other values (38) 5624
33.8%
Distinct871
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:40:09.755354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length5.583
Min length4

Characters and Unicode

Total characters5583
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)78.7%

Sample

1st row248830
2nd row70000
3rd row114217
4th row198200
5th row77503
ValueCountFrequency (%)
50000 7
 
0.7%
100000 6
 
0.6%
60000 6
 
0.6%
125000 5
 
0.5%
80000 5
 
0.5%
55000 5
 
0.5%
26750 4
 
0.4%
75000 4
 
0.4%
104463 4
 
0.4%
51000 4
 
0.4%
Other values (862) 953
95.0%
2023-12-09T20:40:10.322419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1314
23.5%
1 677
12.1%
5 554
9.9%
6 488
 
8.7%
2 475
 
8.5%
7 437
 
7.8%
4 429
 
7.7%
8 424
 
7.6%
3 390
 
7.0%
9 355
 
6.4%
Other values (12) 40
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5543
99.3%
Lowercase Letter 30
 
0.5%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1314
23.7%
1 677
12.2%
5 554
10.0%
6 488
 
8.8%
2 475
 
8.6%
7 437
 
7.9%
4 429
 
7.7%
8 424
 
7.6%
3 390
 
7.0%
9 355
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
o 3
10.0%
v 3
10.0%
t 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5547
99.4%
Latin 36
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1314
23.7%
1 677
12.2%
5 554
10.0%
6 488
 
8.8%
2 475
 
8.6%
7 437
 
7.9%
4 429
 
7.7%
8 424
 
7.6%
3 390
 
7.0%
9 355
 
6.4%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
o 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1314
23.5%
1 677
12.1%
5 554
9.9%
6 488
 
8.7%
2 475
 
8.5%
7 437
 
7.8%
4 429
 
7.7%
8 424
 
7.6%
3 390
 
7.0%
9 355
 
6.4%
Other values (12) 40
 
0.7%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:40:10.606085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length53
Median length13
Mean length12.53
Min length5

Characters and Unicode

Total characters12530
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 754
39.9%
available 754
39.9%
parking 76
 
4.0%
store 63
 
3.3%
retail 60
 
3.2%
office 32
 
1.7%
other 24
 
1.3%
restaurant 11
 
0.6%
medical 7
 
0.4%
7
 
0.4%
Other values (48) 101
 
5.3%
2023-12-09T20:40:11.012293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1743
13.9%
l 1623
13.0%
e 1046
8.3%
i 996
7.9%
t 985
7.9%
889
7.1%
o 874
7.0%
b 764
 
6.1%
N 759
 
6.1%
A 758
 
6.0%
Other values (38) 2093
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9696
77.4%
Uppercase Letter 1903
 
15.2%
Space Separator 889
 
7.1%
Other Punctuation 20
 
0.2%
Dash Punctuation 16
 
0.1%
Decimal Number 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1743
18.0%
l 1623
16.7%
e 1046
10.8%
i 996
10.3%
t 985
10.2%
o 874
9.0%
b 764
7.9%
v 755
7.8%
r 242
 
2.5%
n 137
 
1.4%
Other values (12) 531
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
N 759
39.9%
A 758
39.8%
P 85
 
4.5%
R 82
 
4.3%
S 76
 
4.0%
O 56
 
2.9%
F 16
 
0.8%
M 12
 
0.6%
H 12
 
0.6%
W 11
 
0.6%
Other values (7) 36
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 17
85.0%
, 2
 
10.0%
. 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
889
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11599
92.6%
Common 931
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1743
15.0%
l 1623
14.0%
e 1046
9.0%
i 996
8.6%
t 985
8.5%
o 874
7.5%
b 764
6.6%
N 759
6.5%
A 758
6.5%
v 755
6.5%
Other values (29) 1296
11.2%
Common
ValueCountFrequency (%)
889
95.5%
/ 17
 
1.8%
- 16
 
1.7%
, 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
( 1
 
0.1%
. 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1743
13.9%
l 1623
13.0%
e 1046
8.3%
i 996
7.9%
t 985
7.9%
889
7.1%
o 874
7.0%
b 764
 
6.1%
N 759
 
6.1%
A 758
 
6.0%
Other values (38) 2093
16.7%
Distinct188
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:40:11.500330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.857
Min length1

Characters and Unicode

Total characters10857
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)17.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 754
43.0%
available 754
43.0%
0 25
 
1.4%
10000 9
 
0.5%
5000 7
 
0.4%
4000 6
 
0.3%
25000 3
 
0.2%
7000 3
 
0.2%
999 3
 
0.2%
15000 3
 
0.2%
Other values (179) 187
 
10.7%
2023-12-09T20:40:12.116919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1508
13.9%
l 1508
13.9%
N 754
6.9%
o 754
6.9%
b 754
6.9%
i 754
6.9%
e 754
6.9%
v 754
6.9%
A 754
6.9%
754
6.9%
Other values (11) 1809
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7540
69.4%
Uppercase Letter 1508
 
13.9%
Decimal Number 1055
 
9.7%
Space Separator 754
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 351
33.3%
1 98
 
9.3%
2 95
 
9.0%
5 90
 
8.5%
9 77
 
7.3%
6 75
 
7.1%
3 74
 
7.0%
7 71
 
6.7%
4 67
 
6.4%
8 57
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1508
20.0%
l 1508
20.0%
o 754
10.0%
b 754
10.0%
i 754
10.0%
e 754
10.0%
v 754
10.0%
t 754
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 754
50.0%
A 754
50.0%
Space Separator
ValueCountFrequency (%)
754
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9048
83.3%
Common 1809
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
754
41.7%
0 351
19.4%
1 98
 
5.4%
2 95
 
5.3%
5 90
 
5.0%
9 77
 
4.3%
6 75
 
4.1%
3 74
 
4.1%
7 71
 
3.9%
4 67
 
3.7%
Latin
ValueCountFrequency (%)
a 1508
16.7%
l 1508
16.7%
N 754
8.3%
o 754
8.3%
b 754
8.3%
i 754
8.3%
e 754
8.3%
v 754
8.3%
A 754
8.3%
t 754
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1508
13.9%
l 1508
13.9%
N 754
6.9%
o 754
6.9%
b 754
6.9%
i 754
6.9%
e 754
6.9%
v 754
6.9%
A 754
6.9%
754
6.9%
Other values (11) 1809
16.7%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:40:12.352409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length13
Mean length12.911
Min length5

Characters and Unicode

Total characters12911
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 911
46.3%
available 911
46.3%
office 20
 
1.0%
store 16
 
0.8%
retail 15
 
0.8%
other 14
 
0.7%
parking 13
 
0.7%
restaurant 10
 
0.5%
medical 9
 
0.5%
non-refrigerated 6
 
0.3%
Other values (19) 41
 
2.1%
2023-12-09T20:40:12.709379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1918
14.9%
l 1856
14.4%
e 1048
8.1%
t 1001
7.8%
i 997
7.7%
966
7.5%
o 957
7.4%
N 917
7.1%
v 912
7.1%
b 912
7.1%
Other values (30) 1427
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9957
77.1%
Uppercase Letter 1973
 
15.3%
Space Separator 966
 
7.5%
Dash Punctuation 10
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1918
19.3%
l 1856
18.6%
e 1048
10.5%
t 1001
10.1%
i 997
10.0%
o 957
9.6%
v 912
9.2%
b 912
9.2%
r 88
 
0.9%
n 51
 
0.5%
Other values (12) 217
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 917
46.5%
A 911
46.2%
O 36
 
1.8%
R 35
 
1.8%
S 22
 
1.1%
P 16
 
0.8%
M 9
 
0.5%
F 8
 
0.4%
W 6
 
0.3%
C 5
 
0.3%
Other values (5) 8
 
0.4%
Space Separator
ValueCountFrequency (%)
966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11930
92.4%
Common 981
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1918
16.1%
l 1856
15.6%
e 1048
8.8%
t 1001
8.4%
i 997
8.4%
o 957
8.0%
N 917
7.7%
v 912
7.6%
b 912
7.6%
A 911
7.6%
Other values (27) 501
 
4.2%
Common
ValueCountFrequency (%)
966
98.5%
- 10
 
1.0%
/ 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1918
14.9%
l 1856
14.4%
e 1048
8.1%
t 1001
7.8%
i 997
7.7%
966
7.5%
o 957
7.4%
N 917
7.1%
v 912
7.1%
b 912
7.1%
Other values (30) 1427
11.1%
Distinct78
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:40:13.020095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.227
Min length1

Characters and Unicode

Total characters12227
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)7.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 911
47.7%
available 911
47.7%
0 5
 
0.3%
10000 4
 
0.2%
12000 3
 
0.2%
4000 2
 
0.1%
2200 2
 
0.1%
1200 2
 
0.1%
14700 1
 
0.1%
800 1
 
0.1%
Other values (69) 69
 
3.6%
2023-12-09T20:40:13.460138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1822
14.9%
l 1822
14.9%
N 911
7.5%
o 911
7.5%
b 911
7.5%
i 911
7.5%
e 911
7.5%
v 911
7.5%
A 911
7.5%
911
7.5%
Other values (11) 1295
10.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9110
74.5%
Uppercase Letter 1822
 
14.9%
Space Separator 911
 
7.5%
Decimal Number 384
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
30.7%
1 52
13.5%
2 41
 
10.7%
5 37
 
9.6%
3 28
 
7.3%
8 25
 
6.5%
4 24
 
6.2%
6 22
 
5.7%
7 19
 
4.9%
9 18
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1822
20.0%
l 1822
20.0%
o 911
10.0%
b 911
10.0%
i 911
10.0%
e 911
10.0%
v 911
10.0%
t 911
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 911
50.0%
A 911
50.0%
Space Separator
ValueCountFrequency (%)
911
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10932
89.4%
Common 1295
 
10.6%

Most frequent character per script

Common
ValueCountFrequency (%)
911
70.3%
0 118
 
9.1%
1 52
 
4.0%
2 41
 
3.2%
5 37
 
2.9%
3 28
 
2.2%
8 25
 
1.9%
4 24
 
1.9%
6 22
 
1.7%
7 19
 
1.5%
Latin
ValueCountFrequency (%)
a 1822
16.7%
l 1822
16.7%
N 911
8.3%
o 911
8.3%
b 911
8.3%
i 911
8.3%
e 911
8.3%
v 911
8.3%
A 911
8.3%
t 911
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1822
14.9%
l 1822
14.9%
N 911
7.5%
o 911
7.5%
b 911
7.5%
i 911
7.5%
e 911
7.5%
v 911
7.5%
A 911
7.5%
911
7.5%
Other values (11) 1295
10.6%
Distinct122
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:40:13.807432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st row1989
2nd row1900
3rd row1992
4th row2012
5th row1999
ValueCountFrequency (%)
1950 33
 
3.3%
1920 27
 
2.7%
1962 26
 
2.6%
1910 26
 
2.6%
1927 24
 
2.4%
1930 23
 
2.3%
1928 23
 
2.3%
1929 22
 
2.2%
2013 21
 
2.1%
1931 21
 
2.1%
Other values (112) 754
75.4%
2023-12-09T20:40:14.263604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1117
27.9%
9 955
23.9%
0 494
12.3%
2 425
 
10.6%
5 222
 
5.5%
6 180
 
4.5%
3 176
 
4.4%
8 148
 
3.7%
7 144
 
3.6%
4 139
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1117
27.9%
9 955
23.9%
0 494
12.3%
2 425
 
10.6%
5 222
 
5.5%
6 180
 
4.5%
3 176
 
4.4%
8 148
 
3.7%
7 144
 
3.6%
4 139
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1117
27.9%
9 955
23.9%
0 494
12.3%
2 425
 
10.6%
5 222
 
5.5%
6 180
 
4.5%
3 176
 
4.4%
8 148
 
3.7%
7 144
 
3.6%
4 139
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1117
27.9%
9 955
23.9%
0 494
12.3%
2 425
 
10.6%
5 222
 
5.5%
6 180
 
4.5%
3 176
 
4.4%
8 148
 
3.7%
7 144
 
3.6%
4 139
 
3.5%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:40:14.428204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.03
Min length1

Characters and Unicode

Total characters1030
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 901
90.1%
2 36
 
3.6%
3 13
 
1.3%
4 7
 
0.7%
8 4
 
0.4%
5 4
 
0.4%
17 3
 
0.3%
32 3
 
0.3%
9 2
 
0.2%
6 2
 
0.2%
Other values (19) 25
 
2.5%
2023-12-09T20:40:14.692343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 915
88.8%
2 47
 
4.6%
3 21
 
2.0%
4 12
 
1.2%
5 9
 
0.9%
8 7
 
0.7%
7 6
 
0.6%
9 5
 
0.5%
0 4
 
0.4%
6 4
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1030
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 915
88.8%
2 47
 
4.6%
3 21
 
2.0%
4 12
 
1.2%
5 9
 
0.9%
8 7
 
0.7%
7 6
 
0.6%
9 5
 
0.5%
0 4
 
0.4%
6 4
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 915
88.8%
2 47
 
4.6%
3 21
 
2.0%
4 12
 
1.2%
5 9
 
0.9%
8 7
 
0.7%
7 6
 
0.6%
9 5
 
0.5%
0 4
 
0.4%
6 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 915
88.8%
2 47
 
4.6%
3 21
 
2.0%
4 12
 
1.2%
5 9
 
0.9%
8 7
 
0.7%
7 6
 
0.6%
9 5
 
0.5%
0 4
 
0.4%
6 4
 
0.4%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size58.6 KiB
2023-12-09T20:40:14.832815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.832
Min length1

Characters and Unicode

Total characters2832
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row100
2nd row100
3rd row95
4th row50
5th row100
ValueCountFrequency (%)
100 842
84.2%
95 53
 
5.3%
90 41
 
4.1%
80 14
 
1.4%
85 12
 
1.2%
0 10
 
1.0%
40 9
 
0.9%
70 5
 
0.5%
50 4
 
0.4%
75 3
 
0.3%
Other values (4) 7
 
0.7%
2023-12-09T20:40:15.097608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1773
62.6%
1 845
29.8%
9 94
 
3.3%
5 73
 
2.6%
8 26
 
0.9%
4 9
 
0.3%
7 8
 
0.3%
6 3
 
0.1%
2 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2832
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1773
62.6%
1 845
29.8%
9 94
 
3.3%
5 73
 
2.6%
8 26
 
0.9%
4 9
 
0.3%
7 8
 
0.3%
6 3
 
0.1%
2 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2832
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1773
62.6%
1 845
29.8%
9 94
 
3.3%
5 73
 
2.6%
8 26
 
0.9%
4 9
 
0.3%
7 8
 
0.3%
6 3
 
0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1773
62.6%
1 845
29.8%
9 94
 
3.3%
5 73
 
2.6%
8 26
 
0.9%
4 9
 
0.3%
7 8
 
0.3%
6 3
 
0.1%
2 1
 
< 0.1%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-09T20:40:15.288328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length14
Mean length14.079
Min length13

Characters and Unicode

Total characters14079
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowWhole Building
2nd rowWhole Building
3rd rowWhole Building
4th rowWhole Building
5th rowWhole Building
ValueCountFrequency (%)
whole 979
48.7%
building 979
48.7%
not 14
 
0.7%
available 14
 
0.7%
another 3
 
0.1%
configuration 3
 
0.1%
common 3
 
0.1%
areas 3
 
0.1%
all 3
 
0.1%
energy 3
 
0.1%
Other values (4) 8
 
0.4%
2023-12-09T20:40:15.594880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1995
14.2%
i 1980
14.1%
1012
7.2%
o 1011
7.2%
e 1010
7.2%
n 1000
7.1%
g 987
7.0%
u 982
7.0%
d 982
7.0%
h 982
7.0%
Other values (20) 2138
15.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11063
78.6%
Uppercase Letter 1997
 
14.2%
Space Separator 1012
 
7.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1995
18.0%
i 1980
17.9%
o 1011
9.1%
e 1010
9.1%
n 1000
9.0%
g 987
8.9%
u 982
8.9%
d 982
8.9%
h 982
8.9%
a 48
 
0.4%
Other values (9) 86
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
W 979
49.0%
B 979
49.0%
A 18
 
0.9%
N 14
 
0.7%
C 3
 
0.2%
T 2
 
0.1%
H 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1012
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13060
92.8%
Common 1019
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1995
15.3%
i 1980
15.2%
o 1011
7.7%
e 1010
7.7%
n 1000
7.7%
g 987
7.6%
u 982
7.5%
d 982
7.5%
h 982
7.5%
W 979
7.5%
Other values (16) 1152
8.8%
Common
ValueCountFrequency (%)
1012
99.3%
( 3
 
0.3%
) 3
 
0.3%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1995
14.2%
i 1980
14.1%
1012
7.2%
o 1011
7.2%
e 1010
7.2%
n 1000
7.1%
g 987
7.0%
u 982
7.0%
d 982
7.0%
h 982
7.0%
Other values (20) 2138
15.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size69.1 KiB
2023-12-09T20:40:15.793356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length13
Mean length13.596
Min length13

Characters and Unicode

Total characters13596
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowWhole Building
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 510
25.3%
available 510
25.3%
whole 482
23.9%
building 482
23.9%
areas 5
 
0.2%
all 5
 
0.2%
energy 5
 
0.2%
loads 5
 
0.2%
common 4
 
0.2%
another 3
 
0.1%
Other values (2) 4
 
0.2%
2023-12-09T20:40:16.120792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1999
14.7%
i 1480
 
10.9%
a 1044
 
7.7%
1015
 
7.5%
o 1014
 
7.5%
e 1011
 
7.4%
t 517
 
3.8%
A 513
 
3.8%
N 510
 
3.8%
v 510
 
3.8%
Other values (18) 3983
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10579
77.8%
Uppercase Letter 1992
 
14.7%
Space Separator 1015
 
7.5%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1999
18.9%
i 1480
14.0%
a 1044
9.9%
o 1014
9.6%
e 1011
9.6%
t 517
 
4.9%
v 510
 
4.8%
b 510
 
4.8%
n 502
 
4.7%
g 490
 
4.6%
Other values (9) 1502
14.2%
Uppercase Letter
ValueCountFrequency (%)
A 513
25.8%
N 510
25.6%
B 482
24.2%
W 482
24.2%
C 4
 
0.2%
T 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1015
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12571
92.5%
Common 1025
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1999
15.9%
i 1480
11.8%
a 1044
 
8.3%
o 1014
 
8.1%
e 1011
 
8.0%
t 517
 
4.1%
A 513
 
4.1%
N 510
 
4.1%
v 510
 
4.1%
b 510
 
4.1%
Other values (15) 3463
27.5%
Common
ValueCountFrequency (%)
1015
99.0%
( 5
 
0.5%
) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1999
14.7%
i 1480
 
10.9%
a 1044
 
7.7%
1015
 
7.5%
o 1014
 
7.5%
e 1011
 
7.4%
t 517
 
3.8%
A 513
 
3.8%
N 510
 
3.8%
v 510
 
3.8%
Other values (18) 3983
29.3%
Distinct101
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T20:40:16.440771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length4.418
Min length1

Characters and Unicode

Total characters4418
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row13
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 222
18.2%
available 222
18.2%
100 88
 
7.2%
1 50
 
4.1%
98 24
 
2.0%
99 21
 
1.7%
96 16
 
1.3%
60 14
 
1.1%
92 14
 
1.1%
93 14
 
1.1%
Other values (92) 537
43.9%
2023-12-09T20:40:16.881712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 444
 
10.0%
a 444
 
10.0%
0 236
 
5.3%
N 222
 
5.0%
i 222
 
5.0%
o 222
 
5.0%
b 222
 
5.0%
e 222
 
5.0%
v 222
 
5.0%
A 222
 
5.0%
Other values (11) 1740
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2220
50.2%
Decimal Number 1532
34.7%
Uppercase Letter 444
 
10.0%
Space Separator 222
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 236
15.4%
1 218
14.2%
9 204
13.3%
6 149
9.7%
8 139
9.1%
2 121
7.9%
3 121
7.9%
4 121
7.9%
7 116
7.6%
5 107
7.0%
Lowercase Letter
ValueCountFrequency (%)
l 444
20.0%
a 444
20.0%
i 222
10.0%
o 222
10.0%
b 222
10.0%
e 222
10.0%
v 222
10.0%
t 222
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 222
50.0%
A 222
50.0%
Space Separator
ValueCountFrequency (%)
222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2664
60.3%
Common 1754
39.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
13.5%
222
12.7%
1 218
12.4%
9 204
11.6%
6 149
8.5%
8 139
7.9%
2 121
6.9%
3 121
6.9%
4 121
6.9%
7 116
6.6%
Latin
ValueCountFrequency (%)
l 444
16.7%
a 444
16.7%
N 222
8.3%
i 222
8.3%
o 222
8.3%
b 222
8.3%
e 222
8.3%
v 222
8.3%
A 222
8.3%
t 222
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 444
 
10.0%
a 444
 
10.0%
0 236
 
5.3%
N 222
 
5.0%
i 222
 
5.0%
o 222
 
5.0%
b 222
 
5.0%
e 222
 
5.0%
v 222
 
5.0%
A 222
 
5.0%
Other values (11) 1740
39.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:40:16.990951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T20:40:17.201815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:17.398170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length13
Mean length12.979
Min length4

Characters and Unicode

Total characters12979
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
48.5%
available 975
48.5%
2014 13
 
0.6%
2016 9
 
0.4%
2015 7
 
0.3%
2012 5
 
0.2%
2008 4
 
0.2%
2013 4
 
0.2%
2011 3
 
0.1%
2010 3
 
0.1%
Other values (8) 11
 
0.5%
2023-12-09T20:40:17.722365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.0%
l 1950
15.0%
1009
7.8%
N 975
7.5%
t 975
7.5%
A 975
7.5%
v 975
7.5%
i 975
7.5%
b 975
7.5%
e 975
7.5%
Other values (12) 1245
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
75.1%
Uppercase Letter 1950
 
15.0%
Space Separator 1009
 
7.8%
Decimal Number 236
 
1.8%
Other Punctuation 34
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
31.8%
2 65
27.5%
1 50
21.2%
4 13
 
5.5%
6 11
 
4.7%
5 8
 
3.4%
3 5
 
2.1%
8 4
 
1.7%
7 3
 
1.3%
9 2
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
o 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
90.1%
Common 1279
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1009
78.9%
0 75
 
5.9%
2 65
 
5.1%
1 50
 
3.9%
, 34
 
2.7%
4 13
 
1.0%
6 11
 
0.9%
5 8
 
0.6%
3 5
 
0.4%
8 4
 
0.3%
Other values (2) 5
 
0.4%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%
o 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.0%
l 1950
15.0%
1009
7.8%
N 975
7.5%
t 975
7.5%
A 975
7.5%
v 975
7.5%
i 975
7.5%
b 975
7.5%
e 975
7.5%
Other values (12) 1245
9.6%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:40:17.941343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.925
Min length10

Characters and Unicode

Total characters12925
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
01/12/2015 7
 
0.4%
11/20/2016 1
 
0.1%
07/19/2011 1
 
0.1%
12/31/2014 1
 
0.1%
10/31/2016 1
 
0.1%
10/16/2012 1
 
0.1%
06/14/2012 1
 
0.1%
08/23/2016 1
 
0.1%
Other values (11) 11
 
0.6%
2023-12-09T20:40:18.280809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.1%
l 1950
15.1%
N 975
7.5%
t 975
7.5%
975
7.5%
A 975
7.5%
v 975
7.5%
i 975
7.5%
b 975
7.5%
e 975
7.5%
Other values (12) 1225
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
75.4%
Uppercase Letter 1950
 
15.1%
Space Separator 975
 
7.5%
Decimal Number 200
 
1.5%
Other Punctuation 50
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 62
31.0%
0 52
26.0%
2 44
22.0%
5 12
 
6.0%
6 9
 
4.5%
8 5
 
2.5%
4 5
 
2.5%
3 5
 
2.5%
7 3
 
1.5%
9 3
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
o 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
90.5%
Common 1225
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
975
79.6%
1 62
 
5.1%
0 52
 
4.2%
/ 50
 
4.1%
2 44
 
3.6%
5 12
 
1.0%
6 9
 
0.7%
8 5
 
0.4%
4 5
 
0.4%
3 5
 
0.4%
Other values (2) 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%
o 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.1%
l 1950
15.1%
N 975
7.5%
t 975
7.5%
975
7.5%
A 975
7.5%
v 975
7.5%
i 975
7.5%
b 975
7.5%
e 975
7.5%
Other values (12) 1225
9.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:40:18.398913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.001
Min length2

Characters and Unicode

Total characters2001
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 999
99.9%
yes 1
 
0.1%
2023-12-09T20:40:18.620734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 999
49.9%
o 999
49.9%
Y 1
 
< 0.1%
e 1
 
< 0.1%
s 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1001
50.0%
Uppercase Letter 1000
50.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 999
99.8%
e 1
 
0.1%
s 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
99.9%
Y 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 2001
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 999
49.9%
o 999
49.9%
Y 1
 
< 0.1%
e 1
 
< 0.1%
s 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 999
49.9%
o 999
49.9%
Y 1
 
< 0.1%
e 1
 
< 0.1%
s 1
 
< 0.1%
Distinct735
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T20:40:19.102606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.381
Min length1

Characters and Unicode

Total characters4381
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique552 ?
Unique (%)55.2%

Sample

1st row132.6
2nd row171.7
3rd row68.1
4th rowNot Available
5th row115.6
ValueCountFrequency (%)
not 35
 
3.4%
available 35
 
3.4%
70.3 5
 
0.5%
73.1 5
 
0.5%
96.7 4
 
0.4%
67.6 4
 
0.4%
66.5 4
 
0.4%
73.6 4
 
0.4%
113 4
 
0.4%
64.9 3
 
0.3%
Other values (726) 932
90.0%
2023-12-09T20:40:20.079508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 866
19.8%
1 553
12.6%
3 321
 
7.3%
2 313
 
7.1%
7 300
 
6.8%
6 298
 
6.8%
5 279
 
6.4%
9 270
 
6.2%
4 270
 
6.2%
8 265
 
6.0%
Other values (12) 646
14.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3060
69.8%
Other Punctuation 866
 
19.8%
Lowercase Letter 350
 
8.0%
Uppercase Letter 70
 
1.6%
Space Separator 35
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 553
18.1%
3 321
10.5%
2 313
10.2%
7 300
9.8%
6 298
9.7%
5 279
9.1%
9 270
8.8%
4 270
8.8%
8 265
8.7%
0 191
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 70
20.0%
a 70
20.0%
b 35
10.0%
e 35
10.0%
o 35
10.0%
i 35
10.0%
v 35
10.0%
t 35
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 35
50.0%
N 35
50.0%
Other Punctuation
ValueCountFrequency (%)
. 866
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3961
90.4%
Latin 420
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 866
21.9%
1 553
14.0%
3 321
 
8.1%
2 313
 
7.9%
7 300
 
7.6%
6 298
 
7.5%
5 279
 
7.0%
9 270
 
6.8%
4 270
 
6.8%
8 265
 
6.7%
Other values (2) 226
 
5.7%
Latin
ValueCountFrequency (%)
l 70
16.7%
a 70
16.7%
b 35
8.3%
e 35
8.3%
o 35
8.3%
i 35
8.3%
v 35
8.3%
A 35
8.3%
t 35
8.3%
N 35
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 866
19.8%
1 553
12.6%
3 321
 
7.3%
2 313
 
7.1%
7 300
 
6.8%
6 298
 
6.8%
5 279
 
6.4%
9 270
 
6.2%
4 270
 
6.2%
8 265
 
6.0%
Other values (12) 646
14.7%
Distinct639
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:40:20.606645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.755
Min length1

Characters and Unicode

Total characters5755
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique501 ?
Unique (%)50.1%

Sample

1st row137.5
2nd row174.1
3rd row68.1
4th rowNot Available
5th row120
ValueCountFrequency (%)
not 188
 
15.8%
available 188
 
15.8%
72.9 5
 
0.4%
70.3 5
 
0.4%
70.8 4
 
0.3%
82.8 4
 
0.3%
65.9 4
 
0.3%
67.3 4
 
0.3%
73.5 4
 
0.3%
102.1 4
 
0.3%
Other values (630) 778
65.5%
2023-12-09T20:40:21.287334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 723
 
12.6%
1 489
 
8.5%
a 376
 
6.5%
l 376
 
6.5%
3 290
 
5.0%
2 278
 
4.8%
6 246
 
4.3%
7 244
 
4.2%
9 229
 
4.0%
4 222
 
3.9%
Other values (12) 2282
39.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2588
45.0%
Lowercase Letter 1880
32.7%
Other Punctuation 723
 
12.6%
Uppercase Letter 376
 
6.5%
Space Separator 188
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 489
18.9%
3 290
11.2%
2 278
10.7%
6 246
9.5%
7 244
9.4%
9 229
8.8%
4 222
8.6%
8 220
8.5%
5 217
8.4%
0 153
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 376
20.0%
l 376
20.0%
e 188
10.0%
o 188
10.0%
b 188
10.0%
i 188
10.0%
v 188
10.0%
t 188
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 188
50.0%
N 188
50.0%
Other Punctuation
ValueCountFrequency (%)
. 723
100.0%
Space Separator
ValueCountFrequency (%)
188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3499
60.8%
Latin 2256
39.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 723
20.7%
1 489
14.0%
3 290
8.3%
2 278
 
7.9%
6 246
 
7.0%
7 244
 
7.0%
9 229
 
6.5%
4 222
 
6.3%
8 220
 
6.3%
5 217
 
6.2%
Other values (2) 341
9.7%
Latin
ValueCountFrequency (%)
a 376
16.7%
l 376
16.7%
e 188
8.3%
o 188
8.3%
b 188
8.3%
i 188
8.3%
v 188
8.3%
A 188
8.3%
t 188
8.3%
N 188
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 723
 
12.6%
1 489
 
8.5%
a 376
 
6.5%
l 376
 
6.5%
3 290
 
5.0%
2 278
 
4.8%
6 246
 
4.3%
7 244
 
4.2%
9 229
 
4.0%
4 222
 
3.9%
Other values (12) 2282
39.7%
Distinct637
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:40:21.827811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.301
Min length2

Characters and Unicode

Total characters4301
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)41.3%

Sample

1st row100.8
2nd row51.7
3rd row77.4
4th rowNot Available
5th row77.5
ValueCountFrequency (%)
not 21
 
2.1%
available 21
 
2.1%
59.6 17
 
1.7%
73.4 7
 
0.7%
97.5 6
 
0.6%
100.8 6
 
0.6%
92.4 6
 
0.6%
47.1 5
 
0.5%
40.7 5
 
0.5%
39.2 5
 
0.5%
Other values (628) 922
90.3%
2023-12-09T20:40:22.498285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 884
20.6%
1 537
12.5%
7 339
 
7.9%
8 338
 
7.9%
9 336
 
7.8%
5 295
 
6.9%
6 293
 
6.8%
4 277
 
6.4%
3 268
 
6.2%
2 244
 
5.7%
Other values (12) 490
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3144
73.1%
Other Punctuation 884
 
20.6%
Lowercase Letter 210
 
4.9%
Uppercase Letter 42
 
1.0%
Space Separator 21
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 537
17.1%
7 339
10.8%
8 338
10.8%
9 336
10.7%
5 295
9.4%
6 293
9.3%
4 277
8.8%
3 268
8.5%
2 244
7.8%
0 217
6.9%
Lowercase Letter
ValueCountFrequency (%)
l 42
20.0%
a 42
20.0%
e 21
10.0%
o 21
10.0%
b 21
10.0%
i 21
10.0%
v 21
10.0%
t 21
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
50.0%
N 21
50.0%
Other Punctuation
ValueCountFrequency (%)
. 884
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4049
94.1%
Latin 252
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 884
21.8%
1 537
13.3%
7 339
 
8.4%
8 338
 
8.3%
9 336
 
8.3%
5 295
 
7.3%
6 293
 
7.2%
4 277
 
6.8%
3 268
 
6.6%
2 244
 
6.0%
Other values (2) 238
 
5.9%
Latin
ValueCountFrequency (%)
l 42
16.7%
a 42
16.7%
e 21
8.3%
o 21
8.3%
b 21
8.3%
i 21
8.3%
v 21
8.3%
A 21
8.3%
t 21
8.3%
N 21
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 884
20.6%
1 537
12.5%
7 339
 
7.9%
8 338
 
7.9%
9 336
 
7.8%
5 295
 
6.9%
6 293
 
6.8%
4 277
 
6.4%
3 268
 
6.2%
2 244
 
5.7%
Other values (12) 490
11.4%
Distinct720
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:40:23.032228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length4.768
Min length1

Characters and Unicode

Total characters4768
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique542 ?
Unique (%)54.2%

Sample

1st row31.5
2nd row232.5
3rd row-12.1
4th rowNot Available
5th row49.2
ValueCountFrequency (%)
not 52
 
4.9%
available 52
 
4.9%
12.2 7
 
0.7%
3.1 6
 
0.6%
9.4 5
 
0.5%
10.9 5
 
0.5%
9.9 5
 
0.5%
31.5 5
 
0.5%
43.6 5
 
0.5%
6.3 5
 
0.5%
Other values (587) 905
86.0%
2023-12-09T20:40:23.711568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 866
18.2%
- 574
12.0%
1 392
 
8.2%
2 359
 
7.5%
4 328
 
6.9%
3 322
 
6.8%
5 249
 
5.2%
9 240
 
5.0%
6 223
 
4.7%
8 218
 
4.6%
Other values (13) 997
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2652
55.6%
Other Punctuation 866
 
18.2%
Dash Punctuation 574
 
12.0%
Lowercase Letter 520
 
10.9%
Uppercase Letter 104
 
2.2%
Space Separator 52
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 392
14.8%
2 359
13.5%
4 328
12.4%
3 322
12.1%
5 249
9.4%
9 240
9.0%
6 223
8.4%
8 218
8.2%
7 211
8.0%
0 110
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 104
20.0%
a 104
20.0%
i 52
10.0%
b 52
10.0%
e 52
10.0%
o 52
10.0%
v 52
10.0%
t 52
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 52
50.0%
N 52
50.0%
Other Punctuation
ValueCountFrequency (%)
. 866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 574
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4144
86.9%
Latin 624
 
13.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 866
20.9%
- 574
13.9%
1 392
9.5%
2 359
8.7%
4 328
 
7.9%
3 322
 
7.8%
5 249
 
6.0%
9 240
 
5.8%
6 223
 
5.4%
8 218
 
5.3%
Other values (3) 373
9.0%
Latin
ValueCountFrequency (%)
l 104
16.7%
a 104
16.7%
i 52
8.3%
b 52
8.3%
e 52
8.3%
o 52
8.3%
v 52
8.3%
A 52
8.3%
t 52
8.3%
N 52
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 866
18.2%
- 574
12.0%
1 392
 
8.2%
2 359
 
7.5%
4 328
 
6.9%
3 322
 
6.8%
5 249
 
5.2%
9 240
 
5.0%
6 223
 
4.7%
8 218
 
4.6%
Other values (13) 997
20.9%
Distinct966
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:40:24.096459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.275
Min length6

Characters and Unicode

Total characters9275
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique961 ?
Unique (%)96.1%

Sample

1st row32983122.1
2nd row12022424.1
3rd row7777631.3
4th row1123274.8
5th row8958697.9
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
1872284.4 2
 
0.2%
8463321.3 2
 
0.2%
1605544598 2
 
0.2%
39787766 2
 
0.2%
23887255.1 1
 
0.1%
3332506.2 1
 
0.1%
23221271.5 1
 
0.1%
12230669.5 1
 
0.1%
Other values (957) 957
92.8%
2023-12-09T20:40:24.600224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 976
10.5%
. 859
9.3%
2 855
9.2%
6 827
8.9%
5 818
8.8%
4 794
8.6%
7 789
8.5%
3 782
8.4%
9 779
8.4%
8 758
8.2%
Other values (12) 1038
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8013
86.4%
Other Punctuation 859
 
9.3%
Lowercase Letter 310
 
3.3%
Uppercase Letter 62
 
0.7%
Space Separator 31
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 976
12.2%
2 855
10.7%
6 827
10.3%
5 818
10.2%
4 794
9.9%
7 789
9.8%
3 782
9.8%
9 779
9.7%
8 758
9.5%
0 635
7.9%
Lowercase Letter
ValueCountFrequency (%)
l 62
20.0%
a 62
20.0%
b 31
10.0%
e 31
10.0%
o 31
10.0%
i 31
10.0%
v 31
10.0%
t 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 859
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8903
96.0%
Latin 372
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 976
11.0%
. 859
9.6%
2 855
9.6%
6 827
9.3%
5 818
9.2%
4 794
8.9%
7 789
8.9%
3 782
8.8%
9 779
8.7%
8 758
8.5%
Other values (2) 666
7.5%
Latin
ValueCountFrequency (%)
l 62
16.7%
a 62
16.7%
b 31
8.3%
e 31
8.3%
o 31
8.3%
i 31
8.3%
v 31
8.3%
A 31
8.3%
t 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 976
10.5%
. 859
9.3%
2 855
9.2%
6 827
8.9%
5 818
8.8%
4 794
8.6%
7 789
8.5%
3 782
8.4%
9 779
8.4%
8 758
8.2%
Other values (12) 1038
11.2%
Distinct813
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-09T20:40:24.970776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.875
Min length6

Characters and Unicode

Total characters9875
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)80.8%

Sample

1st row34226362.2
2nd row12187617.4
3rd row7777631.3
4th row1130713.4
5th row9303057.6
ValueCountFrequency (%)
not 184
 
15.5%
available 184
 
15.5%
1994625.4 2
 
0.2%
1602996999 2
 
0.2%
40383179.7 2
 
0.2%
8577605.3 2
 
0.2%
12715279.9 1
 
0.1%
26766361.9 1
 
0.1%
5183017.6 1
 
0.1%
14628644.9 1
 
0.1%
Other values (804) 804
67.9%
2023-12-09T20:40:25.493032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 852
 
8.6%
5 737
 
7.5%
3 735
 
7.4%
. 726
 
7.4%
7 678
 
6.9%
6 676
 
6.8%
2 670
 
6.8%
4 664
 
6.7%
9 614
 
6.2%
8 590
 
6.0%
Other values (12) 2933
29.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6757
68.4%
Lowercase Letter 1840
 
18.6%
Other Punctuation 726
 
7.4%
Uppercase Letter 368
 
3.7%
Space Separator 184
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 852
12.6%
5 737
10.9%
3 735
10.9%
7 678
10.0%
6 676
10.0%
2 670
9.9%
4 664
9.8%
9 614
9.1%
8 590
8.7%
0 541
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 368
20.0%
a 368
20.0%
t 184
10.0%
v 184
10.0%
o 184
10.0%
e 184
10.0%
b 184
10.0%
i 184
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 184
50.0%
N 184
50.0%
Other Punctuation
ValueCountFrequency (%)
. 726
100.0%
Space Separator
ValueCountFrequency (%)
184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7667
77.6%
Latin 2208
 
22.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 852
11.1%
5 737
9.6%
3 735
9.6%
. 726
9.5%
7 678
8.8%
6 676
8.8%
2 670
8.7%
4 664
8.7%
9 614
8.0%
8 590
7.7%
Other values (2) 725
9.5%
Latin
ValueCountFrequency (%)
l 368
16.7%
a 368
16.7%
A 184
8.3%
t 184
8.3%
v 184
8.3%
o 184
8.3%
e 184
8.3%
b 184
8.3%
i 184
8.3%
N 184
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 852
 
8.6%
5 737
 
7.5%
3 735
 
7.4%
. 726
 
7.4%
7 678
 
6.9%
6 676
 
6.8%
2 670
 
6.8%
4 664
 
6.7%
9 614
 
6.2%
8 590
 
6.0%
Other values (12) 2933
29.7%
Distinct966
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:40:25.849916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.555
Min length5

Characters and Unicode

Total characters9555
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique961 ?
Unique (%)96.1%

Sample

1st row64371140.3
2nd row26636335.2
3rd row24421762.4
4th row3527083
5th row21123663.5
ValueCountFrequency (%)
not 31
 
3.0%
available 31
 
3.0%
1683012870 2
 
0.2%
2221261 2
 
0.2%
23633425 2
 
0.2%
109752028.9 2
 
0.2%
164852739.3 1
 
0.1%
24335234.8 1
 
0.1%
10681943.3 1
 
0.1%
11918046.9 1
 
0.1%
Other values (957) 957
92.8%
2023-12-09T20:40:26.342814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1091
11.4%
2 928
9.7%
. 848
8.9%
3 842
8.8%
8 825
8.6%
4 823
8.6%
5 806
8.4%
9 784
8.2%
7 780
8.2%
6 760
8.0%
Other values (12) 1068
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8304
86.9%
Other Punctuation 848
 
8.9%
Lowercase Letter 310
 
3.2%
Uppercase Letter 62
 
0.6%
Space Separator 31
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1091
13.1%
2 928
11.2%
3 842
10.1%
8 825
9.9%
4 823
9.9%
5 806
9.7%
9 784
9.4%
7 780
9.4%
6 760
9.2%
0 665
8.0%
Lowercase Letter
ValueCountFrequency (%)
a 62
20.0%
l 62
20.0%
t 31
10.0%
o 31
10.0%
e 31
10.0%
b 31
10.0%
i 31
10.0%
v 31
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 31
50.0%
N 31
50.0%
Other Punctuation
ValueCountFrequency (%)
. 848
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9183
96.1%
Latin 372
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1091
11.9%
2 928
10.1%
. 848
9.2%
3 842
9.2%
8 825
9.0%
4 823
9.0%
5 806
8.8%
9 784
8.5%
7 780
8.5%
6 760
8.3%
Other values (2) 696
7.6%
Latin
ValueCountFrequency (%)
a 62
16.7%
l 62
16.7%
t 31
8.3%
A 31
8.3%
o 31
8.3%
e 31
8.3%
b 31
8.3%
i 31
8.3%
v 31
8.3%
N 31
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1091
11.4%
2 928
9.7%
. 848
8.9%
3 842
8.8%
8 825
8.6%
4 823
8.6%
5 806
8.4%
9 784
8.2%
7 780
8.2%
6 760
8.0%
Other values (12) 1068
11.2%
Distinct976
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size64.9 KiB
2023-12-09T20:40:26.687436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.35
Min length6

Characters and Unicode

Total characters9350
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
Unique (%)97.3%

Sample

1st row25085210.3
2nd row3615699.2
3rd row8844681.1
4th rowNot Available
5th row6006009.4
ValueCountFrequency (%)
not 21
 
2.1%
available 21
 
2.1%
1962268.1 4
 
0.4%
1670371.2 2
 
0.2%
10670361.7 1
 
0.1%
6194811.7 1
 
0.1%
303991143.6 1
 
0.1%
3835042.3 1
 
0.1%
8519055 1
 
0.1%
5885406.2 1
 
0.1%
Other values (967) 967
94.7%
2023-12-09T20:40:27.166554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 969
10.4%
2 877
9.4%
. 876
9.4%
6 863
9.2%
4 840
9.0%
7 827
8.8%
3 812
8.7%
5 801
8.6%
8 793
8.5%
9 737
7.9%
Other values (12) 955
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8201
87.7%
Other Punctuation 876
 
9.4%
Lowercase Letter 210
 
2.2%
Uppercase Letter 42
 
0.4%
Space Separator 21
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 969
11.8%
2 877
10.7%
6 863
10.5%
4 840
10.2%
7 827
10.1%
3 812
9.9%
5 801
9.8%
8 793
9.7%
9 737
9.0%
0 682
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 42
20.0%
a 42
20.0%
b 21
10.0%
e 21
10.0%
o 21
10.0%
i 21
10.0%
v 21
10.0%
t 21
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
50.0%
N 21
50.0%
Other Punctuation
ValueCountFrequency (%)
. 876
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9098
97.3%
Latin 252
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 969
10.7%
2 877
9.6%
. 876
9.6%
6 863
9.5%
4 840
9.2%
7 827
9.1%
3 812
8.9%
5 801
8.8%
8 793
8.7%
9 737
8.1%
Other values (2) 703
7.7%
Latin
ValueCountFrequency (%)
l 42
16.7%
a 42
16.7%
b 21
8.3%
e 21
8.3%
o 21
8.3%
i 21
8.3%
v 21
8.3%
A 21
8.3%
t 21
8.3%
N 21
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 969
10.4%
2 877
9.4%
. 876
9.4%
6 863
9.2%
4 840
9.0%
7 827
8.8%
3 812
8.7%
5 801
8.6%
8 793
8.5%
9 737
7.9%
Other values (12) 955
10.2%
Distinct255
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:40:27.675214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.289
Min length1

Characters and Unicode

Total characters4289
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st row16.7
2nd row27.5
3rd row20
4th rowNot Available
5th row20.7
ValueCountFrequency (%)
not 119
 
10.6%
available 119
 
10.6%
5.4 13
 
1.2%
4 13
 
1.2%
3.4 13
 
1.2%
5.2 13
 
1.2%
7.3 12
 
1.1%
0.7 12
 
1.1%
1.1 11
 
1.0%
4.9 11
 
1.0%
Other values (246) 783
70.0%
2023-12-09T20:40:28.303664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 796
18.6%
1 360
 
8.4%
a 238
 
5.5%
l 238
 
5.5%
4 228
 
5.3%
2 225
 
5.2%
3 215
 
5.0%
7 195
 
4.5%
5 190
 
4.4%
6 159
 
3.7%
Other values (12) 1445
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1946
45.4%
Lowercase Letter 1190
27.7%
Other Punctuation 796
18.6%
Uppercase Letter 238
 
5.5%
Space Separator 119
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 360
18.5%
4 228
11.7%
2 225
11.6%
3 215
11.0%
7 195
10.0%
5 190
9.8%
6 159
8.2%
9 131
 
6.7%
8 131
 
6.7%
0 112
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 238
20.0%
l 238
20.0%
o 119
10.0%
e 119
10.0%
b 119
10.0%
i 119
10.0%
v 119
10.0%
t 119
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 119
50.0%
N 119
50.0%
Other Punctuation
ValueCountFrequency (%)
. 796
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2861
66.7%
Latin 1428
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 796
27.8%
1 360
12.6%
4 228
 
8.0%
2 225
 
7.9%
3 215
 
7.5%
7 195
 
6.8%
5 190
 
6.6%
6 159
 
5.6%
9 131
 
4.6%
8 131
 
4.6%
Other values (2) 231
 
8.1%
Latin
ValueCountFrequency (%)
a 238
16.7%
l 238
16.7%
o 119
8.3%
e 119
8.3%
b 119
8.3%
i 119
8.3%
v 119
8.3%
A 119
8.3%
t 119
8.3%
N 119
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 796
18.6%
1 360
 
8.4%
a 238
 
5.5%
l 238
 
5.5%
4 228
 
5.3%
2 225
 
5.2%
3 215
 
5.0%
7 195
 
4.5%
5 190
 
4.4%
6 159
 
3.7%
Other values (12) 1445
33.7%
Distinct36
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:40:28.540520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length5.067
Min length1

Characters and Unicode

Total characters5067
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row0.8
2nd row0.8
3rd rowNot Available
4th rowNot Available
5th row0.5
ValueCountFrequency (%)
not 239
19.3%
available 239
19.3%
0 139
11.2%
0.1 95
 
7.7%
0.7 75
 
6.1%
0.2 63
 
5.1%
0.4 58
 
4.7%
0.3 55
 
4.4%
0.6 44
 
3.6%
0.8 43
 
3.5%
Other values (27) 189
15.3%
2023-12-09T20:40:28.884974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 645
12.7%
. 599
11.8%
l 478
 
9.4%
a 478
 
9.4%
o 239
 
4.7%
e 239
 
4.7%
b 239
 
4.7%
N 239
 
4.7%
i 239
 
4.7%
v 239
 
4.7%
Other values (12) 1433
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2390
47.2%
Decimal Number 1361
26.9%
Other Punctuation 599
 
11.8%
Uppercase Letter 478
 
9.4%
Space Separator 239
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 645
47.4%
1 220
 
16.2%
2 90
 
6.6%
7 80
 
5.9%
4 75
 
5.5%
3 73
 
5.4%
6 50
 
3.7%
8 48
 
3.5%
5 42
 
3.1%
9 38
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
l 478
20.0%
a 478
20.0%
o 239
10.0%
e 239
10.0%
b 239
10.0%
i 239
10.0%
v 239
10.0%
t 239
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 239
50.0%
A 239
50.0%
Other Punctuation
ValueCountFrequency (%)
. 599
100.0%
Space Separator
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2868
56.6%
Common 2199
43.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 645
29.3%
. 599
27.2%
239
 
10.9%
1 220
 
10.0%
2 90
 
4.1%
7 80
 
3.6%
4 75
 
3.4%
3 73
 
3.3%
6 50
 
2.3%
8 48
 
2.2%
Other values (2) 80
 
3.6%
Latin
ValueCountFrequency (%)
l 478
16.7%
a 478
16.7%
o 239
8.3%
e 239
8.3%
b 239
8.3%
N 239
8.3%
i 239
8.3%
v 239
8.3%
A 239
8.3%
t 239
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 645
12.7%
. 599
11.8%
l 478
 
9.4%
a 478
 
9.4%
o 239
 
4.7%
e 239
 
4.7%
b 239
 
4.7%
N 239
 
4.7%
i 239
 
4.7%
v 239
 
4.7%
Other values (12) 1433
28.3%
Distinct708
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
2023-12-09T20:40:29.388181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length6.083
Min length1

Characters and Unicode

Total characters6083
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique617 ?
Unique (%)61.7%

Sample

1st row263.2
2nd row378.6
3rd row213.8
4th rowNot Available
5th row273.7
ValueCountFrequency (%)
not 188
 
15.8%
available 188
 
15.8%
105.8 4
 
0.3%
254.2 3
 
0.3%
100 3
 
0.3%
111.8 3
 
0.3%
135.8 3
 
0.3%
141.5 3
 
0.3%
75.9 3
 
0.3%
123.2 3
 
0.3%
Other values (699) 787
66.2%
2023-12-09T20:40:30.031369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 734
 
12.1%
1 617
 
10.1%
2 399
 
6.6%
a 376
 
6.2%
l 376
 
6.2%
3 287
 
4.7%
5 261
 
4.3%
4 252
 
4.1%
7 244
 
4.0%
8 242
 
4.0%
Other values (12) 2295
37.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2905
47.8%
Lowercase Letter 1880
30.9%
Other Punctuation 734
 
12.1%
Uppercase Letter 376
 
6.2%
Space Separator 188
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 617
21.2%
2 399
13.7%
3 287
9.9%
5 261
9.0%
4 252
8.7%
7 244
 
8.4%
8 242
 
8.3%
9 239
 
8.2%
6 220
 
7.6%
0 144
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 376
20.0%
l 376
20.0%
v 188
10.0%
i 188
10.0%
b 188
10.0%
e 188
10.0%
o 188
10.0%
t 188
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 188
50.0%
N 188
50.0%
Other Punctuation
ValueCountFrequency (%)
. 734
100.0%
Space Separator
ValueCountFrequency (%)
188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3827
62.9%
Latin 2256
37.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 734
19.2%
1 617
16.1%
2 399
10.4%
3 287
 
7.5%
5 261
 
6.8%
4 252
 
6.6%
7 244
 
6.4%
8 242
 
6.3%
9 239
 
6.2%
6 220
 
5.7%
Other values (2) 332
8.7%
Latin
ValueCountFrequency (%)
a 376
16.7%
l 376
16.7%
v 188
8.3%
i 188
8.3%
A 188
8.3%
b 188
8.3%
e 188
8.3%
o 188
8.3%
t 188
8.3%
N 188
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 734
 
12.1%
1 617
 
10.1%
2 399
 
6.6%
a 376
 
6.2%
l 376
 
6.2%
3 287
 
4.7%
5 261
 
4.3%
4 252
 
4.1%
7 244
 
4.0%
8 242
 
4.0%
Other values (12) 2295
37.7%
Distinct548
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:40:30.528048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.954
Min length2

Characters and Unicode

Total characters4954
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)39.7%

Sample

1st row196.7
2nd row114.4
3rd row243.2
4th rowNot Available
5th row182.7
ValueCountFrequency (%)
127.9 80
 
7.8%
119.3 63
 
6.2%
123.1 32
 
3.1%
not 21
 
2.1%
available 21
 
2.1%
148.1 19
 
1.9%
243.2 10
 
1.0%
116.6 10
 
1.0%
47.6 9
 
0.9%
262.6 7
 
0.7%
Other values (539) 749
73.4%
2023-12-09T20:40:31.134161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1096
22.1%
. 900
18.2%
2 565
11.4%
3 390
 
7.9%
9 334
 
6.7%
4 330
 
6.7%
5 255
 
5.1%
7 252
 
5.1%
6 248
 
5.0%
8 190
 
3.8%
Other values (12) 394
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3781
76.3%
Other Punctuation 900
 
18.2%
Lowercase Letter 210
 
4.2%
Uppercase Letter 42
 
0.8%
Space Separator 21
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1096
29.0%
2 565
14.9%
3 390
 
10.3%
9 334
 
8.8%
4 330
 
8.7%
5 255
 
6.7%
7 252
 
6.7%
6 248
 
6.6%
8 190
 
5.0%
0 121
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 42
20.0%
l 42
20.0%
i 21
10.0%
b 21
10.0%
e 21
10.0%
t 21
10.0%
o 21
10.0%
v 21
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
50.0%
N 21
50.0%
Other Punctuation
ValueCountFrequency (%)
. 900
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4702
94.9%
Latin 252
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1096
23.3%
. 900
19.1%
2 565
12.0%
3 390
 
8.3%
9 334
 
7.1%
4 330
 
7.0%
5 255
 
5.4%
7 252
 
5.4%
6 248
 
5.3%
8 190
 
4.0%
Other values (2) 142
 
3.0%
Latin
ValueCountFrequency (%)
a 42
16.7%
l 42
16.7%
A 21
8.3%
i 21
8.3%
b 21
8.3%
e 21
8.3%
t 21
8.3%
o 21
8.3%
N 21
8.3%
v 21
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1096
22.1%
. 900
18.2%
2 565
11.4%
3 390
 
7.9%
9 334
 
6.7%
4 330
 
6.7%
5 255
 
5.1%
7 252
 
5.1%
6 248
 
5.0%
8 190
 
3.8%
Other values (12) 394
 
8.0%
Distinct720
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:40:31.660833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length4.768
Min length1

Characters and Unicode

Total characters4768
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique542 ?
Unique (%)54.2%

Sample

1st row31.5
2nd row232.5
3rd row-12.1
4th rowNot Available
5th row49.2
ValueCountFrequency (%)
not 52
 
4.9%
available 52
 
4.9%
12.2 7
 
0.7%
3.1 6
 
0.6%
9.4 5
 
0.5%
10.9 5
 
0.5%
9.9 5
 
0.5%
31.5 5
 
0.5%
43.6 5
 
0.5%
6.3 5
 
0.5%
Other values (587) 905
86.0%
2023-12-09T20:40:32.316623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 866
18.2%
- 574
12.0%
1 392
 
8.2%
2 359
 
7.5%
4 328
 
6.9%
3 322
 
6.8%
5 249
 
5.2%
9 240
 
5.0%
6 223
 
4.7%
8 218
 
4.6%
Other values (13) 997
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2652
55.6%
Other Punctuation 866
 
18.2%
Dash Punctuation 574
 
12.0%
Lowercase Letter 520
 
10.9%
Uppercase Letter 104
 
2.2%
Space Separator 52
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 392
14.8%
2 359
13.5%
4 328
12.4%
3 322
12.1%
5 249
9.4%
9 240
9.0%
6 223
8.4%
8 218
8.2%
7 211
8.0%
0 110
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 104
20.0%
a 104
20.0%
i 52
10.0%
b 52
10.0%
e 52
10.0%
o 52
10.0%
v 52
10.0%
t 52
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 52
50.0%
N 52
50.0%
Other Punctuation
ValueCountFrequency (%)
. 866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 574
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4144
86.9%
Latin 624
 
13.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 866
20.9%
- 574
13.9%
1 392
9.5%
2 359
8.7%
4 328
 
7.9%
3 322
 
7.8%
5 249
 
6.0%
9 240
 
5.8%
6 223
 
5.4%
8 218
 
5.3%
Other values (3) 373
9.0%
Latin
ValueCountFrequency (%)
l 104
16.7%
a 104
16.7%
i 52
8.3%
b 52
8.3%
e 52
8.3%
o 52
8.3%
v 52
8.3%
A 52
8.3%
t 52
8.3%
N 52
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 866
18.2%
- 574
12.0%
1 392
 
8.2%
2 359
 
7.5%
4 328
 
6.9%
3 322
 
6.8%
5 249
 
5.2%
9 240
 
5.0%
6 223
 
4.7%
8 218
 
4.6%
Other values (13) 997
20.9%
Distinct776
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:40:32.677318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.268
Min length6

Characters and Unicode

Total characters10268
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)77.3%

Sample

1st row64371140.3
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 223
 
18.2%
available 223
 
18.2%
2221261 2
 
0.2%
23633425 2
 
0.2%
286702040.1 1
 
0.1%
21495814 1
 
0.1%
5743943.7 1
 
0.1%
3212250.2 1
 
0.1%
39197511.2 1
 
0.1%
10837117.8 1
 
0.1%
Other values (767) 767
62.7%
2023-12-09T20:40:33.184617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 869
 
8.5%
2 734
 
7.1%
. 682
 
6.6%
8 675
 
6.6%
4 672
 
6.5%
3 658
 
6.4%
6 655
 
6.4%
7 643
 
6.3%
5 625
 
6.1%
9 612
 
6.0%
Other values (12) 3443
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6687
65.1%
Lowercase Letter 2230
 
21.7%
Other Punctuation 682
 
6.6%
Uppercase Letter 446
 
4.3%
Space Separator 223
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 869
13.0%
2 734
11.0%
8 675
10.1%
4 672
10.0%
3 658
9.8%
6 655
9.8%
7 643
9.6%
5 625
9.3%
9 612
9.2%
0 544
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 446
20.0%
l 446
20.0%
t 223
10.0%
v 223
10.0%
o 223
10.0%
e 223
10.0%
b 223
10.0%
i 223
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 223
50.0%
N 223
50.0%
Other Punctuation
ValueCountFrequency (%)
. 682
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7592
73.9%
Latin 2676
 
26.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 869
11.4%
2 734
9.7%
. 682
9.0%
8 675
8.9%
4 672
8.9%
3 658
8.7%
6 655
8.6%
7 643
8.5%
5 625
8.2%
9 612
8.1%
Other values (2) 767
10.1%
Latin
ValueCountFrequency (%)
a 446
16.7%
l 446
16.7%
t 223
8.3%
A 223
8.3%
v 223
8.3%
o 223
8.3%
e 223
8.3%
b 223
8.3%
i 223
8.3%
N 223
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 869
 
8.5%
2 734
 
7.1%
. 682
 
6.6%
8 675
 
6.6%
4 672
 
6.5%
3 658
 
6.4%
6 655
 
6.4%
7 643
 
6.3%
5 625
 
6.1%
9 612
 
6.0%
Other values (12) 3443
33.5%
Distinct813
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T20:40:33.546501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.135
Min length5

Characters and Unicode

Total characters10135
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique808 ?
Unique (%)80.8%

Sample

1st row65491246.2
2nd row26501887.6
3rd row24421762.4
4th row3550440.1
5th row21213717.7
ValueCountFrequency (%)
not 184
 
15.5%
available 184
 
15.5%
109115589.9 2
 
0.2%
1679688254 2
 
0.2%
23574285.2 2
 
0.2%
2344825.5 2
 
0.2%
70600939.7 1
 
0.1%
6044656.4 1
 
0.1%
31211003.9 1
 
0.1%
5382000.5 1
 
0.1%
Other values (804) 804
67.9%
2023-12-09T20:40:34.033678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 934
 
9.2%
2 795
 
7.8%
5 739
 
7.3%
. 726
 
7.2%
3 692
 
6.8%
4 685
 
6.8%
6 654
 
6.5%
8 651
 
6.4%
7 646
 
6.4%
9 624
 
6.2%
Other values (12) 2989
29.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7017
69.2%
Lowercase Letter 1840
 
18.2%
Other Punctuation 726
 
7.2%
Uppercase Letter 368
 
3.6%
Space Separator 184
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 934
13.3%
2 795
11.3%
5 739
10.5%
3 692
9.9%
4 685
9.8%
6 654
9.3%
8 651
9.3%
7 646
9.2%
9 624
8.9%
0 597
8.5%
Lowercase Letter
ValueCountFrequency (%)
l 368
20.0%
a 368
20.0%
t 184
10.0%
v 184
10.0%
o 184
10.0%
e 184
10.0%
b 184
10.0%
i 184
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 184
50.0%
N 184
50.0%
Other Punctuation
ValueCountFrequency (%)
. 726
100.0%
Space Separator
ValueCountFrequency (%)
184
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7927
78.2%
Latin 2208
 
21.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 934
11.8%
2 795
10.0%
5 739
9.3%
. 726
9.2%
3 692
8.7%
4 685
8.6%
6 654
8.3%
8 651
8.2%
7 646
8.1%
9 624
7.9%
Other values (2) 781
9.9%
Latin
ValueCountFrequency (%)
l 368
16.7%
a 368
16.7%
t 184
8.3%
v 184
8.3%
A 184
8.3%
o 184
8.3%
e 184
8.3%
b 184
8.3%
i 184
8.3%
N 184
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 934
 
9.2%
2 795
 
7.8%
5 739
 
7.3%
. 726
 
7.2%
3 692
 
6.8%
4 685
 
6.8%
6 654
 
6.5%
8 651
 
6.4%
7 646
 
6.4%
9 624
 
6.2%
Other values (12) 2989
29.5%
Distinct952
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T20:40:34.381928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.658
Min length7

Characters and Unicode

Total characters9658
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique925 ?
Unique (%)92.5%

Sample

1st row48957269.3
2nd row8010778.2
3rd row27772302.1
4th rowNot Available
5th row14161536.1
ValueCountFrequency (%)
not 21
 
2.1%
available 21
 
2.1%
4160761.5 4
 
0.4%
8586906.5 2
 
0.2%
175774726 2
 
0.2%
53493844.7 2
 
0.2%
395849167.1 2
 
0.2%
19147716.7 2
 
0.2%
40429715.8 2
 
0.2%
98615899.3 2
 
0.2%
Other values (943) 961
94.1%
2023-12-09T20:40:34.858403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1193
12.4%
2 876
9.1%
. 875
9.1%
7 837
8.7%
8 836
8.7%
4 829
8.6%
9 824
8.5%
3 824
8.5%
5 817
8.5%
6 812
8.4%
Other values (12) 935
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8510
88.1%
Other Punctuation 875
 
9.1%
Lowercase Letter 210
 
2.2%
Uppercase Letter 42
 
0.4%
Space Separator 21
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1193
14.0%
2 876
10.3%
7 837
9.8%
8 836
9.8%
4 829
9.7%
9 824
9.7%
3 824
9.7%
5 817
9.6%
6 812
9.5%
0 662
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 42
20.0%
l 42
20.0%
i 21
10.0%
b 21
10.0%
e 21
10.0%
o 21
10.0%
v 21
10.0%
t 21
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
50.0%
N 21
50.0%
Other Punctuation
ValueCountFrequency (%)
. 875
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9406
97.4%
Latin 252
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1193
12.7%
2 876
9.3%
. 875
9.3%
7 837
8.9%
8 836
8.9%
4 829
8.8%
9 824
8.8%
3 824
8.8%
5 817
8.7%
6 812
8.6%
Other values (2) 683
7.3%
Latin
ValueCountFrequency (%)
a 42
16.7%
l 42
16.7%
i 21
8.3%
b 21
8.3%
e 21
8.3%
o 21
8.3%
v 21
8.3%
A 21
8.3%
t 21
8.3%
N 21
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1193
12.4%
2 876
9.1%
. 875
9.1%
7 837
8.7%
8 836
8.7%
4 829
8.6%
9 824
8.5%
3 824
8.5%
5 817
8.5%
6 812
8.4%
Other values (12) 935
9.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:40:35.059809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.946
Min length1

Characters and Unicode

Total characters12946
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
0 2
 
0.1%
1097539.9 2
 
0.1%
1234734.2 1
 
0.1%
2850003.4 1
 
0.1%
60919.5 1
 
0.1%
1443840.2 1
 
0.1%
1396099.2 1
 
0.1%
2023-12-09T20:40:35.372954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
t 991
7.7%
991
7.7%
A 991
7.7%
v 991
7.7%
i 991
7.7%
b 991
7.7%
e 991
7.7%
Other values (12) 1054
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.5%
Uppercase Letter 1982
 
15.3%
Space Separator 991
 
7.7%
Decimal Number 56
 
0.4%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 11
19.6%
0 10
17.9%
3 7
12.5%
1 6
10.7%
4 6
10.7%
2 5
8.9%
5 4
 
7.1%
7 3
 
5.4%
8 2
 
3.6%
6 2
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
t 991
10.0%
v 991
10.0%
i 991
10.0%
b 991
10.0%
e 991
10.0%
o 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
91.9%
Common 1054
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
991
94.0%
9 11
 
1.0%
0 10
 
0.9%
3 7
 
0.7%
. 7
 
0.7%
1 6
 
0.6%
4 6
 
0.6%
2 5
 
0.5%
5 4
 
0.4%
7 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
t 991
8.3%
A 991
8.3%
v 991
8.3%
i 991
8.3%
b 991
8.3%
e 991
8.3%
o 991
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
t 991
7.7%
991
7.7%
A 991
7.7%
v 991
7.7%
i 991
7.7%
b 991
7.7%
e 991
7.7%
Other values (12) 1054
8.1%
Distinct153
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:40:35.799772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.637
Min length1

Characters and Unicode

Total characters11637
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)13.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 787
44.0%
available 787
44.0%
0 47
 
2.6%
8831999.8 3
 
0.2%
23322979.7 2
 
0.1%
703524 2
 
0.1%
36229967.5 2
 
0.1%
8828550.1 2
 
0.1%
48714 2
 
0.1%
31602 2
 
0.1%
Other values (144) 151
 
8.4%
2023-12-09T20:40:36.374357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1574
13.5%
l 1574
13.5%
N 787
 
6.8%
o 787
 
6.8%
t 787
 
6.8%
787
 
6.8%
A 787
 
6.8%
v 787
 
6.8%
i 787
 
6.8%
b 787
 
6.8%
Other values (12) 2193
18.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7870
67.6%
Uppercase Letter 1574
 
13.5%
Decimal Number 1292
 
11.1%
Space Separator 787
 
6.8%
Other Punctuation 114
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 192
14.9%
1 146
11.3%
2 135
10.4%
3 130
10.1%
9 127
9.8%
5 120
9.3%
7 117
9.1%
4 113
8.7%
8 111
8.6%
6 101
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1574
20.0%
l 1574
20.0%
o 787
10.0%
t 787
10.0%
v 787
10.0%
i 787
10.0%
b 787
10.0%
e 787
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 787
50.0%
A 787
50.0%
Space Separator
ValueCountFrequency (%)
787
100.0%
Other Punctuation
ValueCountFrequency (%)
. 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9444
81.2%
Common 2193
 
18.8%

Most frequent character per script

Common
ValueCountFrequency (%)
787
35.9%
0 192
 
8.8%
1 146
 
6.7%
2 135
 
6.2%
3 130
 
5.9%
9 127
 
5.8%
5 120
 
5.5%
7 117
 
5.3%
. 114
 
5.2%
4 113
 
5.2%
Other values (2) 212
 
9.7%
Latin
ValueCountFrequency (%)
a 1574
16.7%
l 1574
16.7%
N 787
8.3%
o 787
8.3%
t 787
8.3%
A 787
8.3%
v 787
8.3%
i 787
8.3%
b 787
8.3%
e 787
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1574
13.5%
l 1574
13.5%
N 787
 
6.8%
o 787
 
6.8%
t 787
 
6.8%
787
 
6.8%
A 787
 
6.8%
v 787
 
6.8%
i 787
 
6.8%
b 787
 
6.8%
Other values (12) 2193
18.8%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:40:36.657304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.806
Min length1

Characters and Unicode

Total characters12806
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
0 3
 
0.2%
3262077.9 1
 
0.1%
4175163.3 1
 
0.1%
2336292 1
 
0.1%
1809670.1 1
 
0.1%
3473019 1
 
0.1%
4307146.1 1
 
0.1%
6030384 1
 
0.1%
Other values (30) 30
 
1.5%
2023-12-09T20:40:37.065367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.0%
l 1920
15.0%
N 960
7.5%
t 960
7.5%
960
7.5%
A 960
7.5%
v 960
7.5%
i 960
7.5%
b 960
7.5%
e 960
7.5%
Other values (12) 1286
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
75.0%
Uppercase Letter 1920
 
15.0%
Space Separator 960
 
7.5%
Decimal Number 295
 
2.3%
Other Punctuation 31
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 38
12.9%
2 36
12.2%
7 33
11.2%
0 30
10.2%
5 30
10.2%
4 28
9.5%
6 26
8.8%
9 25
8.5%
1 25
8.5%
8 24
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
t 960
10.0%
v 960
10.0%
i 960
10.0%
b 960
10.0%
e 960
10.0%
o 960
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
90.0%
Common 1286
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
960
74.7%
3 38
 
3.0%
2 36
 
2.8%
7 33
 
2.6%
. 31
 
2.4%
0 30
 
2.3%
5 30
 
2.3%
4 28
 
2.2%
6 26
 
2.0%
9 25
 
1.9%
Other values (2) 49
 
3.8%
Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
t 960
8.3%
A 960
8.3%
v 960
8.3%
i 960
8.3%
b 960
8.3%
e 960
8.3%
o 960
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.0%
l 1920
15.0%
N 960
7.5%
t 960
7.5%
960
7.5%
A 960
7.5%
v 960
7.5%
i 960
7.5%
b 960
7.5%
e 960
7.5%
Other values (12) 1286
10.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:40:37.281182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846
Min length1

Characters and Unicode

Total characters12846
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.4%
available 978
49.4%
0 8
 
0.4%
46900980.8 2
 
0.1%
7030143.7 1
 
0.1%
523569.6 1
 
0.1%
17775000.6 1
 
0.1%
5249995.6 1
 
0.1%
5089224.1 1
 
0.1%
7881772.2 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:40:37.600999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 978
7.6%
o 978
7.6%
t 978
7.6%
978
7.6%
A 978
7.6%
v 978
7.6%
i 978
7.6%
b 978
7.6%
Other values (12) 1110
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9780
76.1%
Uppercase Letter 1956
 
15.2%
Space Separator 978
 
7.6%
Decimal Number 119
 
0.9%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
25.2%
9 14
11.8%
7 12
 
10.1%
5 12
 
10.1%
4 11
 
9.2%
1 10
 
8.4%
2 10
 
8.4%
8 9
 
7.6%
6 7
 
5.9%
3 4
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1956
20.0%
l 1956
20.0%
o 978
10.0%
t 978
10.0%
v 978
10.0%
i 978
10.0%
b 978
10.0%
e 978
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 978
50.0%
A 978
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11736
91.4%
Common 1110
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
978
88.1%
0 30
 
2.7%
9 14
 
1.3%
. 13
 
1.2%
7 12
 
1.1%
5 12
 
1.1%
4 11
 
1.0%
1 10
 
0.9%
2 10
 
0.9%
8 9
 
0.8%
Other values (2) 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1956
16.7%
l 1956
16.7%
N 978
8.3%
o 978
8.3%
t 978
8.3%
A 978
8.3%
v 978
8.3%
i 978
8.3%
b 978
8.3%
e 978
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.2%
l 1956
15.2%
N 978
7.6%
o 978
7.6%
t 978
7.6%
978
7.6%
A 978
7.6%
v 978
7.6%
i 978
7.6%
b 978
7.6%
Other values (12) 1110
8.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:37.773014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
414000 1
 
0.1%
2023-12-09T20:40:38.072591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
4 2
33.3%
1 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
0 3
 
0.3%
4 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1005
7.7%

kerosene_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:38.242849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:40:38.946697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:39.116755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:40:39.393887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct78
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:40:39.736366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.7
Min length4

Characters and Unicode

Total characters12700
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)7.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 923
48.0%
available 923
48.0%
32608418.9 1
 
0.1%
19039449.7 1
 
0.1%
17380.9 1
 
0.1%
7759914.4 1
 
0.1%
22260378 1
 
0.1%
4659800 1
 
0.1%
5088043 1
 
0.1%
3655.1 1
 
0.1%
Other values (69) 69
 
3.6%
2023-12-09T20:40:40.211469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1846
14.5%
l 1846
14.5%
N 923
7.3%
o 923
7.3%
t 923
7.3%
923
7.3%
A 923
7.3%
v 923
7.3%
i 923
7.3%
b 923
7.3%
Other values (12) 1624
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9230
72.7%
Uppercase Letter 1846
 
14.5%
Space Separator 923
 
7.3%
Decimal Number 636
 
5.0%
Other Punctuation 65
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 92
14.5%
2 73
11.5%
6 64
10.1%
4 64
10.1%
8 62
9.7%
5 61
9.6%
0 59
9.3%
9 59
9.3%
3 55
8.6%
7 47
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 1846
20.0%
l 1846
20.0%
o 923
10.0%
t 923
10.0%
v 923
10.0%
i 923
10.0%
b 923
10.0%
e 923
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 923
50.0%
A 923
50.0%
Space Separator
ValueCountFrequency (%)
923
100.0%
Other Punctuation
ValueCountFrequency (%)
. 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11076
87.2%
Common 1624
 
12.8%

Most frequent character per script

Common
ValueCountFrequency (%)
923
56.8%
1 92
 
5.7%
2 73
 
4.5%
. 65
 
4.0%
6 64
 
3.9%
4 64
 
3.9%
8 62
 
3.8%
5 61
 
3.8%
0 59
 
3.6%
9 59
 
3.6%
Other values (2) 102
 
6.3%
Latin
ValueCountFrequency (%)
a 1846
16.7%
l 1846
16.7%
N 923
8.3%
o 923
8.3%
t 923
8.3%
A 923
8.3%
v 923
8.3%
i 923
8.3%
b 923
8.3%
e 923
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1846
14.5%
l 1846
14.5%
N 923
7.3%
o 923
7.3%
t 923
7.3%
923
7.3%
A 923
7.3%
v 923
7.3%
i 923
7.3%
b 923
7.3%
Other values (12) 1624
12.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:40.394563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:40:40.672499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:40.841442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
71287317.4 1
 
0.1%
13293288.1 1
 
0.1%
2023-12-09T20:40:41.135505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
7 3
16.7%
2 3
16.7%
8 3
16.7%
3 3
16.7%
4 1
 
5.6%
9 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
1 4
 
0.4%
7 3
 
0.3%
2 3
 
0.3%
8 3
 
0.3%
3 3
 
0.3%
. 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1018
7.8%
Distinct835
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:40:41.497687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.126
Min length1

Characters and Unicode

Total characters9126
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique821 ?
Unique (%)82.1%

Sample

1st row18754001.6
2nd row5317740
3rd rowNot Available
4th rowNot Available
5th row3352463.1
ValueCountFrequency (%)
not 149
 
13.0%
available 149
 
13.0%
0 5
 
0.4%
3482899.7 3
 
0.3%
196321483.3 2
 
0.2%
60784229.8 2
 
0.2%
2342699.9 2
 
0.2%
130409580.3 2
 
0.2%
631556 2
 
0.2%
9826900.3 2
 
0.2%
Other values (826) 831
72.3%
2023-12-09T20:40:41.995894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 778
 
8.5%
1 760
 
8.3%
9 720
 
7.9%
2 670
 
7.3%
. 663
 
7.3%
3 662
 
7.3%
5 626
 
6.9%
4 600
 
6.6%
8 590
 
6.5%
7 560
 
6.1%
Other values (12) 2497
27.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6526
71.5%
Lowercase Letter 1490
 
16.3%
Other Punctuation 663
 
7.3%
Uppercase Letter 298
 
3.3%
Space Separator 149
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 778
11.9%
1 760
11.6%
9 720
11.0%
2 670
10.3%
3 662
10.1%
5 626
9.6%
4 600
9.2%
8 590
9.0%
7 560
8.6%
6 560
8.6%
Lowercase Letter
ValueCountFrequency (%)
l 298
20.0%
a 298
20.0%
i 149
10.0%
b 149
10.0%
e 149
10.0%
o 149
10.0%
v 149
10.0%
t 149
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 149
50.0%
N 149
50.0%
Other Punctuation
ValueCountFrequency (%)
. 663
100.0%
Space Separator
ValueCountFrequency (%)
149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7338
80.4%
Latin 1788
 
19.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 778
10.6%
1 760
10.4%
9 720
9.8%
2 670
9.1%
. 663
9.0%
3 662
9.0%
5 626
8.5%
4 600
8.2%
8 590
8.0%
7 560
7.6%
Other values (2) 709
9.7%
Latin
ValueCountFrequency (%)
l 298
16.7%
a 298
16.7%
i 149
8.3%
b 149
8.3%
e 149
8.3%
o 149
8.3%
v 149
8.3%
A 149
8.3%
t 149
8.3%
N 149
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 778
 
8.5%
1 760
 
8.3%
9 720
 
7.9%
2 670
 
7.3%
. 663
 
7.3%
3 662
 
7.3%
5 626
 
6.9%
4 600
 
6.6%
8 590
 
6.5%
7 560
 
6.1%
Other values (12) 2497
27.4%
Distinct751
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T20:40:42.382255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.116
Min length1

Characters and Unicode

Total characters8116
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique740 ?
Unique (%)74.0%

Sample

1st row200859
2nd row56302.5
3rd rowNot Available
4th rowNot Available
5th row38267.4
ValueCountFrequency (%)
not 239
 
19.3%
available 239
 
19.3%
0 3
 
0.2%
38152 2
 
0.2%
24761.3 2
 
0.2%
84629.6 2
 
0.2%
1385400.4 2
 
0.2%
6315.6 2
 
0.2%
657640.1 2
 
0.2%
15165321.1 2
 
0.2%
Other values (742) 744
60.0%
2023-12-09T20:40:42.896743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 633
 
7.8%
1 572
 
7.0%
3 498
 
6.1%
4 479
 
5.9%
a 478
 
5.9%
l 478
 
5.9%
2 466
 
5.7%
5 449
 
5.5%
6 424
 
5.2%
7 406
 
5.0%
Other values (12) 3233
39.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4376
53.9%
Lowercase Letter 2390
29.4%
Other Punctuation 633
 
7.8%
Uppercase Letter 478
 
5.9%
Space Separator 239
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 572
13.1%
3 498
11.4%
4 479
10.9%
2 466
10.6%
5 449
10.3%
6 424
9.7%
7 406
9.3%
8 400
9.1%
9 376
8.6%
0 306
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 478
20.0%
l 478
20.0%
o 239
10.0%
e 239
10.0%
b 239
10.0%
i 239
10.0%
v 239
10.0%
t 239
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 239
50.0%
N 239
50.0%
Other Punctuation
ValueCountFrequency (%)
. 633
100.0%
Space Separator
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5248
64.7%
Latin 2868
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 633
12.1%
1 572
10.9%
3 498
9.5%
4 479
9.1%
2 466
8.9%
5 449
8.6%
6 424
8.1%
7 406
7.7%
8 400
7.6%
9 376
7.2%
Other values (2) 545
10.4%
Latin
ValueCountFrequency (%)
a 478
16.7%
l 478
16.7%
o 239
8.3%
e 239
8.3%
b 239
8.3%
i 239
8.3%
v 239
8.3%
A 239
8.3%
t 239
8.3%
N 239
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 633
 
7.8%
1 572
 
7.0%
3 498
 
6.1%
4 479
 
5.9%
a 478
 
5.9%
l 478
 
5.9%
2 466
 
5.7%
5 449
 
5.5%
6 424
 
5.2%
7 406
 
5.0%
Other values (12) 3233
39.8%
Distinct922
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:40:43.261915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.942
Min length1

Characters and Unicode

Total characters8942
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique908 ?
Unique (%)90.8%

Sample

1st row14229120.6
2nd row6704684.2
3rd row7777631.3
4th row1123274.8
5th row5606234.8
ValueCountFrequency (%)
not 63
 
5.9%
available 63
 
5.9%
0 5
 
0.5%
143188.5 2
 
0.2%
32523863.4 2
 
0.2%
52874956.4 2
 
0.2%
3009772.6 2
 
0.2%
37510366.8 2
 
0.2%
45491320.5 2
 
0.2%
2415.7 2
 
0.2%
Other values (913) 918
86.4%
2023-12-09T20:40:43.745966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 949
10.6%
. 839
9.4%
2 796
8.9%
3 788
8.8%
5 741
8.3%
4 728
8.1%
8 714
8.0%
9 677
7.6%
6 657
7.3%
7 651
7.3%
Other values (12) 1402
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7284
81.5%
Other Punctuation 839
 
9.4%
Lowercase Letter 630
 
7.0%
Uppercase Letter 126
 
1.4%
Space Separator 63
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 949
13.0%
2 796
10.9%
3 788
10.8%
5 741
10.2%
4 728
10.0%
8 714
9.8%
9 677
9.3%
6 657
9.0%
7 651
8.9%
0 583
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 126
20.0%
a 126
20.0%
o 63
10.0%
e 63
10.0%
b 63
10.0%
i 63
10.0%
v 63
10.0%
t 63
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 63
50.0%
N 63
50.0%
Other Punctuation
ValueCountFrequency (%)
. 839
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8186
91.5%
Latin 756
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 949
11.6%
. 839
10.2%
2 796
9.7%
3 788
9.6%
5 741
9.1%
4 728
8.9%
8 714
8.7%
9 677
8.3%
6 657
8.0%
7 651
8.0%
Other values (2) 646
7.9%
Latin
ValueCountFrequency (%)
l 126
16.7%
a 126
16.7%
o 63
8.3%
e 63
8.3%
b 63
8.3%
i 63
8.3%
v 63
8.3%
A 63
8.3%
t 63
8.3%
N 63
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 949
10.6%
. 839
9.4%
2 796
8.9%
3 788
8.8%
5 741
8.3%
4 728
8.1%
8 714
8.0%
9 677
7.6%
6 657
7.3%
7 651
7.3%
Other values (12) 1402
15.7%
Distinct870
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:40:44.131604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.654
Min length1

Characters and Unicode

Total characters8654
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique856 ?
Unique (%)85.6%

Sample

1st row4144331.9
2nd row1921853
3rd row2279493.1
4th row331393.1
5th row1605017.2
ValueCountFrequency (%)
not 115
 
10.3%
available 115
 
10.3%
0 5
 
0.4%
13223243.9 2
 
0.2%
76156 2
 
0.2%
9355279 2
 
0.2%
4158216 2
 
0.2%
882113.8 2
 
0.2%
18725922.9 2
 
0.2%
2042860 2
 
0.2%
Other values (861) 866
77.7%
2023-12-09T20:40:44.640947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 802
9.3%
. 776
 
9.0%
3 718
 
8.3%
2 711
 
8.2%
4 666
 
7.7%
6 631
 
7.3%
9 612
 
7.1%
5 601
 
6.9%
7 588
 
6.8%
8 563
 
6.5%
Other values (12) 1986
22.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6383
73.8%
Lowercase Letter 1150
 
13.3%
Other Punctuation 776
 
9.0%
Uppercase Letter 230
 
2.7%
Space Separator 115
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 802
12.6%
3 718
11.2%
2 711
11.1%
4 666
10.4%
6 631
9.9%
9 612
9.6%
5 601
9.4%
7 588
9.2%
8 563
8.8%
0 491
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 230
20.0%
a 230
20.0%
o 115
10.0%
e 115
10.0%
b 115
10.0%
i 115
10.0%
v 115
10.0%
t 115
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 115
50.0%
N 115
50.0%
Other Punctuation
ValueCountFrequency (%)
. 776
100.0%
Space Separator
ValueCountFrequency (%)
115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7274
84.1%
Latin 1380
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 802
11.0%
. 776
10.7%
3 718
9.9%
2 711
9.8%
4 666
9.2%
6 631
8.7%
9 612
8.4%
5 601
8.3%
7 588
8.1%
8 563
7.7%
Other values (2) 606
8.3%
Latin
ValueCountFrequency (%)
l 230
16.7%
a 230
16.7%
o 115
8.3%
e 115
8.3%
b 115
8.3%
i 115
8.3%
v 115
8.3%
A 115
8.3%
t 115
8.3%
N 115
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 802
9.3%
. 776
 
9.0%
3 718
 
8.3%
2 711
 
8.2%
4 666
 
7.7%
6 631
 
7.3%
9 612
 
7.1%
5 601
 
6.9%
7 588
 
6.8%
8 563
 
6.5%
Other values (12) 1986
22.9%
Distinct922
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:40:44.995729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.946
Min length1

Characters and Unicode

Total characters8946
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)90.7%

Sample

1st row14229121.6
2nd row6704685.8
3rd row7777630.1
4th row1123274.8
5th row5606233.3
ValueCountFrequency (%)
not 63
 
5.9%
available 63
 
5.9%
0 4
 
0.4%
45491308.9 2
 
0.2%
37510367.9 2
 
0.2%
259844.3 2
 
0.2%
14606591.2 2
 
0.2%
52874945.1 2
 
0.2%
2415.7 2
 
0.2%
143188.5 2
 
0.2%
Other values (913) 919
86.5%
2023-12-09T20:40:45.475297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 943
10.5%
. 839
9.4%
2 798
8.9%
3 794
8.9%
5 718
8.0%
8 714
8.0%
4 714
8.0%
6 700
7.8%
9 661
7.4%
7 656
7.3%
Other values (12) 1409
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7288
81.5%
Other Punctuation 839
 
9.4%
Lowercase Letter 630
 
7.0%
Uppercase Letter 126
 
1.4%
Space Separator 63
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 943
12.9%
2 798
10.9%
3 794
10.9%
5 718
9.9%
8 714
9.8%
4 714
9.8%
6 700
9.6%
9 661
9.1%
7 656
9.0%
0 590
8.1%
Lowercase Letter
ValueCountFrequency (%)
l 126
20.0%
a 126
20.0%
o 63
10.0%
e 63
10.0%
b 63
10.0%
i 63
10.0%
v 63
10.0%
t 63
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 63
50.0%
N 63
50.0%
Other Punctuation
ValueCountFrequency (%)
. 839
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8190
91.5%
Latin 756
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 943
11.5%
. 839
10.2%
2 798
9.7%
3 794
9.7%
5 718
8.8%
8 714
8.7%
4 714
8.7%
6 700
8.5%
9 661
8.1%
7 656
8.0%
Other values (2) 653
8.0%
Latin
ValueCountFrequency (%)
l 126
16.7%
a 126
16.7%
o 63
8.3%
e 63
8.3%
b 63
8.3%
i 63
8.3%
v 63
8.3%
A 63
8.3%
t 63
8.3%
N 63
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 943
10.5%
. 839
9.4%
2 798
8.9%
3 794
8.9%
5 718
8.0%
8 714
8.0%
4 714
8.0%
6 700
7.8%
9 661
7.4%
7 656
7.3%
Other values (12) 1409
15.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:45.663614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length7

Characters and Unicode

Total characters12985
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
186336.1 1
 
0.1%
95474.4 1
 
0.1%
1413691.9 1
 
0.1%
2023-12-09T20:40:45.960179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1021
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 5
23.8%
4 4
19.0%
6 3
14.3%
3 3
14.3%
9 3
14.3%
8 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1021
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.6%
1 5
 
0.5%
4 4
 
0.4%
6 3
 
0.3%
3 3
 
0.3%
. 3
 
0.3%
9 3
 
0.3%
8 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1021
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:46.135629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length5

Characters and Unicode

Total characters12982
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
147460.2 1
 
0.1%
414329.4 1
 
0.1%
54612 1
 
0.1%
2023-12-09T20:40:46.442878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 19
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6
31.6%
1 3
15.8%
2 3
15.8%
6 2
 
10.5%
7 1
 
5.3%
0 1
 
5.3%
3 1
 
5.3%
9 1
 
5.3%
5 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1018
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.9%
4 6
 
0.6%
1 3
 
0.3%
2 3
 
0.3%
6 2
 
0.2%
. 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1018
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:46.616013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length1

Characters and Unicode

Total characters12971
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
119478.3 1
 
0.1%
2023-12-09T20:40:46.904096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
1 2
22.2%
9 1
11.1%
4 1
11.1%
7 1
11.1%
8 1
11.1%
3 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.0%
0 2
 
0.2%
1 2
 
0.2%
9 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
. 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1007
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:47.078016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length1

Characters and Unicode

Total characters12968
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
54612 1
 
0.1%
2023-12-09T20:40:47.367412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
5 1
14.3%
4 1
14.3%
6 1
14.3%
1 1
14.3%
2 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
0 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.5 KiB
2023-12-09T20:40:47.489480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.762
Min length1

Characters and Unicode

Total characters1762
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 936
88.1%
not 63
 
5.9%
available 63
 
5.9%
1047636 1
 
0.1%
2023-12-09T20:40:47.725981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 937
53.2%
a 126
 
7.2%
l 126
 
7.2%
e 63
 
3.6%
b 63
 
3.6%
N 63
 
3.6%
i 63
 
3.6%
v 63
 
3.6%
A 63
 
3.6%
63
 
3.6%
Other values (7) 132
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 943
53.5%
Lowercase Letter 630
35.8%
Uppercase Letter 126
 
7.2%
Space Separator 63
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 126
20.0%
l 126
20.0%
e 63
10.0%
b 63
10.0%
i 63
10.0%
v 63
10.0%
t 63
10.0%
o 63
10.0%
Decimal Number
ValueCountFrequency (%)
0 937
99.4%
6 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 63
50.0%
A 63
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
57.1%
Latin 756
42.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 126
16.7%
l 126
16.7%
e 63
8.3%
b 63
8.3%
N 63
8.3%
i 63
8.3%
v 63
8.3%
A 63
8.3%
t 63
8.3%
o 63
8.3%
Common
ValueCountFrequency (%)
0 937
93.1%
63
 
6.3%
6 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 937
53.2%
a 126
 
7.2%
l 126
 
7.2%
e 63
 
3.6%
b 63
 
3.6%
N 63
 
3.6%
i 63
 
3.6%
v 63
 
3.6%
A 63
 
3.6%
63
 
3.6%
Other values (7) 132
 
7.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:47.898938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length1

Characters and Unicode

Total characters12967
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
32.6 1
 
0.1%
2023-12-09T20:40:48.188624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (6) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
3 1
20.0%
2 1
20.0%
6 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.4%
0 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (6) 1003
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-09T20:40:48.309133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.688
Min length1

Characters and Unicode

Total characters1688
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 942
89.1%
not 57
 
5.4%
available 57
 
5.4%
346.6 1
 
0.1%
2023-12-09T20:40:48.542926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 942
55.8%
a 114
 
6.8%
l 114
 
6.8%
N 57
 
3.4%
o 57
 
3.4%
t 57
 
3.4%
57
 
3.4%
A 57
 
3.4%
v 57
 
3.4%
i 57
 
3.4%
Other values (6) 119
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 946
56.0%
Lowercase Letter 570
33.8%
Uppercase Letter 114
 
6.8%
Space Separator 57
 
3.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 114
20.0%
l 114
20.0%
o 57
10.0%
t 57
10.0%
v 57
10.0%
i 57
10.0%
b 57
10.0%
e 57
10.0%
Decimal Number
ValueCountFrequency (%)
0 942
99.6%
6 2
 
0.2%
3 1
 
0.1%
4 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 57
50.0%
A 57
50.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
59.5%
Latin 684
40.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 114
16.7%
l 114
16.7%
N 57
8.3%
o 57
8.3%
t 57
8.3%
A 57
8.3%
v 57
8.3%
i 57
8.3%
b 57
8.3%
e 57
8.3%
Common
ValueCountFrequency (%)
0 942
93.8%
57
 
5.7%
6 2
 
0.2%
3 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 942
55.8%
a 114
 
6.8%
l 114
 
6.8%
N 57
 
3.4%
o 57
 
3.4%
t 57
 
3.4%
57
 
3.4%
A 57
 
3.4%
v 57
 
3.4%
i 57
 
3.4%
Other values (6) 119
 
7.0%
Distinct947
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:40:48.996553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.137
Min length1

Characters and Unicode

Total characters5137
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique922 ?
Unique (%)92.2%

Sample

1st row2257.7
2nd row876.9
3rd row689.6
4th row99.6
5th row675.1
ValueCountFrequency (%)
not 18
 
1.8%
available 18
 
1.8%
0 14
 
1.4%
104.1 2
 
0.2%
317.8 2
 
0.2%
477.7 2
 
0.2%
1549.2 2
 
0.2%
186.2 2
 
0.2%
159 2
 
0.2%
497.1 2
 
0.2%
Other values (938) 954
93.7%
2023-12-09T20:40:49.586244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 869
16.9%
1 557
10.8%
2 473
9.2%
4 471
9.2%
3 458
8.9%
5 389
7.6%
7 369
7.2%
9 363
7.1%
8 362
7.0%
6 348
6.8%
Other values (12) 478
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4034
78.5%
Other Punctuation 869
 
16.9%
Lowercase Letter 180
 
3.5%
Uppercase Letter 36
 
0.7%
Space Separator 18
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 557
13.8%
2 473
11.7%
4 471
11.7%
3 458
11.4%
5 389
9.6%
7 369
9.1%
9 363
9.0%
8 362
9.0%
6 348
8.6%
0 244
6.0%
Lowercase Letter
ValueCountFrequency (%)
l 36
20.0%
a 36
20.0%
o 18
10.0%
e 18
10.0%
b 18
10.0%
i 18
10.0%
v 18
10.0%
t 18
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 18
50.0%
N 18
50.0%
Other Punctuation
ValueCountFrequency (%)
. 869
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4921
95.8%
Latin 216
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 869
17.7%
1 557
11.3%
2 473
9.6%
4 471
9.6%
3 458
9.3%
5 389
7.9%
7 369
7.5%
9 363
7.4%
8 362
7.4%
6 348
7.1%
Other values (2) 262
 
5.3%
Latin
ValueCountFrequency (%)
l 36
16.7%
a 36
16.7%
o 18
8.3%
e 18
8.3%
b 18
8.3%
i 18
8.3%
v 18
8.3%
A 18
8.3%
t 18
8.3%
N 18
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 869
16.9%
1 557
10.8%
2 473
9.2%
4 471
9.2%
3 458
8.9%
5 389
7.6%
7 369
7.2%
9 363
7.1%
8 362
7.0%
6 348
6.8%
Other values (12) 478
9.3%
Distinct804
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size60.1 KiB
2023-12-09T20:40:50.046168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.369
Min length1

Characters and Unicode

Total characters4369
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique744 ?
Unique (%)74.4%

Sample

1st row996.1
2nd row282.5
3rd row0
4th row0
5th row178.1
ValueCountFrequency (%)
0 121
 
11.9%
available 13
 
1.3%
not 13
 
1.3%
439.3 3
 
0.3%
10 3
 
0.3%
15.9 3
 
0.3%
655.4 3
 
0.3%
185 3
 
0.3%
2.8 3
 
0.3%
132.9 2
 
0.2%
Other values (795) 846
83.5%
2023-12-09T20:40:50.638135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 770
17.6%
1 517
11.8%
2 442
10.1%
3 347
7.9%
4 338
7.7%
5 320
7.3%
8 313
7.2%
0 294
 
6.7%
9 292
 
6.7%
7 288
 
6.6%
Other values (12) 448
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3430
78.5%
Other Punctuation 770
 
17.6%
Lowercase Letter 130
 
3.0%
Uppercase Letter 26
 
0.6%
Space Separator 13
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 517
15.1%
2 442
12.9%
3 347
10.1%
4 338
9.9%
5 320
9.3%
8 313
9.1%
0 294
8.6%
9 292
8.5%
7 288
8.4%
6 279
8.1%
Lowercase Letter
ValueCountFrequency (%)
l 26
20.0%
a 26
20.0%
b 13
10.0%
i 13
10.0%
v 13
10.0%
t 13
10.0%
o 13
10.0%
e 13
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 13
50.0%
A 13
50.0%
Other Punctuation
ValueCountFrequency (%)
. 770
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4213
96.4%
Latin 156
 
3.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 770
18.3%
1 517
12.3%
2 442
10.5%
3 347
8.2%
4 338
8.0%
5 320
7.6%
8 313
7.4%
0 294
 
7.0%
9 292
 
6.9%
7 288
 
6.8%
Other values (2) 292
 
6.9%
Latin
ValueCountFrequency (%)
l 26
16.7%
a 26
16.7%
b 13
8.3%
N 13
8.3%
i 13
8.3%
v 13
8.3%
A 13
8.3%
t 13
8.3%
o 13
8.3%
e 13
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 770
17.6%
1 517
11.8%
2 442
10.1%
3 347
7.9%
4 338
7.7%
5 320
7.3%
8 313
7.2%
0 294
 
6.7%
9 292
 
6.7%
7 288
 
6.6%
Other values (12) 448
10.3%
Distinct856
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:40:51.125011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length4.646
Min length1

Characters and Unicode

Total characters4646
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique781 ?
Unique (%)78.1%

Sample

1st row1261.5
2nd row594.4
3rd row689.6
4th row99.6
5th row497
ValueCountFrequency (%)
0 51
 
5.0%
available 17
 
1.7%
not 17
 
1.7%
118.2 3
 
0.3%
123.3 3
 
0.3%
79.8 3
 
0.3%
98.7 3
 
0.3%
11.4 3
 
0.3%
19.3 2
 
0.2%
84.2 2
 
0.2%
Other values (847) 913
89.8%
2023-12-09T20:40:51.744730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 839
18.1%
1 559
12.0%
2 447
9.6%
3 364
7.8%
4 355
7.6%
5 341
7.3%
7 315
 
6.8%
8 315
 
6.8%
6 313
 
6.7%
9 292
 
6.3%
Other values (12) 506
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3586
77.2%
Other Punctuation 839
 
18.1%
Lowercase Letter 170
 
3.7%
Uppercase Letter 34
 
0.7%
Space Separator 17
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 559
15.6%
2 447
12.5%
3 364
10.2%
4 355
9.9%
5 341
9.5%
7 315
8.8%
8 315
8.8%
6 313
8.7%
9 292
8.1%
0 285
7.9%
Lowercase Letter
ValueCountFrequency (%)
l 34
20.0%
a 34
20.0%
b 17
10.0%
i 17
10.0%
v 17
10.0%
t 17
10.0%
o 17
10.0%
e 17
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 17
50.0%
A 17
50.0%
Other Punctuation
ValueCountFrequency (%)
. 839
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4442
95.6%
Latin 204
 
4.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 839
18.9%
1 559
12.6%
2 447
10.1%
3 364
8.2%
4 355
8.0%
5 341
7.7%
7 315
 
7.1%
8 315
 
7.1%
6 313
 
7.0%
9 292
 
6.6%
Other values (2) 302
 
6.8%
Latin
ValueCountFrequency (%)
l 34
16.7%
a 34
16.7%
N 17
8.3%
b 17
8.3%
i 17
8.3%
v 17
8.3%
A 17
8.3%
t 17
8.3%
o 17
8.3%
e 17
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 839
18.1%
1 559
12.0%
2 447
9.6%
3 364
7.8%
4 355
7.6%
5 341
7.3%
7 315
 
6.8%
8 315
 
6.8%
6 313
 
6.7%
9 292
 
6.3%
Other values (12) 506
10.9%
Distinct939
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:40:52.209972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.311
Min length1

Characters and Unicode

Total characters5311
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique899 ?
Unique (%)89.9%

Sample

1st row1717.1
2nd row263.7
3rd row784.2
4th rowNot Available
5th row452.6
ValueCountFrequency (%)
not 21
 
2.1%
available 21
 
2.1%
126.4 4
 
0.4%
303.5 2
 
0.2%
641.2 2
 
0.2%
606.4 2
 
0.2%
485.7 2
 
0.2%
492.4 2
 
0.2%
491.8 2
 
0.2%
6207.8 2
 
0.2%
Other values (930) 961
94.1%
2023-12-09T20:40:52.805956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 877
16.5%
1 537
10.1%
2 505
9.5%
3 505
9.5%
4 478
9.0%
5 435
8.2%
6 409
7.7%
7 367
6.9%
8 353
6.6%
9 324
 
6.1%
Other values (12) 521
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4161
78.3%
Other Punctuation 877
 
16.5%
Lowercase Letter 210
 
4.0%
Uppercase Letter 42
 
0.8%
Space Separator 21
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 537
12.9%
2 505
12.1%
3 505
12.1%
4 478
11.5%
5 435
10.5%
6 409
9.8%
7 367
8.8%
8 353
8.5%
9 324
7.8%
0 248
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 42
20.0%
l 42
20.0%
t 21
10.0%
v 21
10.0%
o 21
10.0%
e 21
10.0%
b 21
10.0%
i 21
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 21
50.0%
N 21
50.0%
Other Punctuation
ValueCountFrequency (%)
. 877
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5059
95.3%
Latin 252
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 877
17.3%
1 537
10.6%
2 505
10.0%
3 505
10.0%
4 478
9.4%
5 435
8.6%
6 409
8.1%
7 367
7.3%
8 353
7.0%
9 324
 
6.4%
Other values (2) 269
 
5.3%
Latin
ValueCountFrequency (%)
a 42
16.7%
l 42
16.7%
t 21
8.3%
A 21
8.3%
v 21
8.3%
o 21
8.3%
e 21
8.3%
b 21
8.3%
i 21
8.3%
N 21
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 877
16.5%
1 537
10.1%
2 505
9.5%
3 505
9.5%
4 478
9.0%
5 435
8.2%
6 409
7.7%
7 367
6.9%
8 353
6.6%
9 324
 
6.1%
Other values (12) 521
9.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.3 KiB
2023-12-09T20:40:52.951395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.534
Min length2

Characters and Unicode

Total characters2534
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 906
86.8%
yes 50
 
4.8%
not 44
 
4.2%
available 44
 
4.2%
2023-12-09T20:40:53.197275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 950
37.5%
o 950
37.5%
e 94
 
3.7%
a 88
 
3.5%
l 88
 
3.5%
Y 50
 
2.0%
s 50
 
2.0%
t 44
 
1.7%
44
 
1.7%
A 44
 
1.7%
Other values (3) 132
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1446
57.1%
Uppercase Letter 1044
41.2%
Space Separator 44
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 950
65.7%
e 94
 
6.5%
a 88
 
6.1%
l 88
 
6.1%
s 50
 
3.5%
t 44
 
3.0%
v 44
 
3.0%
i 44
 
3.0%
b 44
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 950
91.0%
Y 50
 
4.8%
A 44
 
4.2%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2490
98.3%
Common 44
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 950
38.2%
o 950
38.2%
e 94
 
3.8%
a 88
 
3.5%
l 88
 
3.5%
Y 50
 
2.0%
s 50
 
2.0%
t 44
 
1.8%
A 44
 
1.8%
v 44
 
1.8%
Other values (2) 88
 
3.5%
Common
ValueCountFrequency (%)
44
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 950
37.5%
o 950
37.5%
e 94
 
3.7%
a 88
 
3.5%
l 88
 
3.5%
Y 50
 
2.0%
s 50
 
2.0%
t 44
 
1.7%
44
 
1.7%
A 44
 
1.7%
Other values (3) 132
 
5.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.2 KiB
2023-12-09T20:40:53.331833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.491
Min length2

Characters and Unicode

Total characters3491
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowNot Available
4th rowNot Available
5th rowNo
ValueCountFrequency (%)
no 819
72.4%
not 131
 
11.6%
available 131
 
11.6%
yes 50
 
4.4%
2023-12-09T20:40:53.570010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 950
27.2%
o 950
27.2%
a 262
 
7.5%
l 262
 
7.5%
e 181
 
5.2%
t 131
 
3.8%
131
 
3.8%
A 131
 
3.8%
v 131
 
3.8%
i 131
 
3.8%
Other values (3) 231
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2229
63.8%
Uppercase Letter 1131
32.4%
Space Separator 131
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 950
42.6%
a 262
 
11.8%
l 262
 
11.8%
e 181
 
8.1%
t 131
 
5.9%
v 131
 
5.9%
i 131
 
5.9%
b 131
 
5.9%
s 50
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 950
84.0%
A 131
 
11.6%
Y 50
 
4.4%
Space Separator
ValueCountFrequency (%)
131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3360
96.2%
Common 131
 
3.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 950
28.3%
o 950
28.3%
a 262
 
7.8%
l 262
 
7.8%
e 181
 
5.4%
t 131
 
3.9%
A 131
 
3.9%
v 131
 
3.9%
i 131
 
3.9%
b 131
 
3.9%
Other values (2) 100
 
3.0%
Common
ValueCountFrequency (%)
131
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 950
27.2%
o 950
27.2%
a 262
 
7.5%
l 262
 
7.5%
e 181
 
5.2%
t 131
 
3.8%
131
 
3.8%
A 131
 
3.8%
v 131
 
3.8%
i 131
 
3.8%
Other values (3) 231
 
6.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.9 KiB
2023-12-09T20:40:53.750285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.353
Min length2

Characters and Unicode

Total characters10353
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 759
43.1%
available 759
43.1%
no 237
 
13.5%
yes 4
 
0.2%
2023-12-09T20:40:54.038259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1518
14.7%
l 1518
14.7%
N 996
9.6%
o 996
9.6%
e 763
7.4%
t 759
7.3%
759
7.3%
A 759
7.3%
v 759
7.3%
i 759
7.3%
Other values (3) 767
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7835
75.7%
Uppercase Letter 1759
 
17.0%
Space Separator 759
 
7.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1518
19.4%
l 1518
19.4%
o 996
12.7%
e 763
9.7%
t 759
9.7%
v 759
9.7%
i 759
9.7%
b 759
9.7%
s 4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
56.6%
A 759
43.1%
Y 4
 
0.2%
Space Separator
ValueCountFrequency (%)
759
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9594
92.7%
Common 759
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1518
15.8%
l 1518
15.8%
N 996
10.4%
o 996
10.4%
e 763
8.0%
t 759
7.9%
A 759
7.9%
v 759
7.9%
i 759
7.9%
b 759
7.9%
Other values (2) 8
 
0.1%
Common
ValueCountFrequency (%)
759
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1518
14.7%
l 1518
14.7%
N 996
9.6%
o 996
9.6%
e 763
7.4%
t 759
7.3%
759
7.3%
A 759
7.3%
v 759
7.3%
i 759
7.3%
Other values (3) 767
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:40:54.208760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.484
Min length2

Characters and Unicode

Total characters12484
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 953
48.8%
available 953
48.8%
no 46
 
2.4%
yes 1
 
0.1%
2023-12-09T20:40:54.495153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 999
8.0%
o 999
8.0%
e 954
7.6%
t 953
7.6%
953
7.6%
A 953
7.6%
v 953
7.6%
i 953
7.6%
Other values (3) 955
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9578
76.7%
Uppercase Letter 1953
 
15.6%
Space Separator 953
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1906
19.9%
l 1906
19.9%
o 999
10.4%
e 954
10.0%
t 953
9.9%
v 953
9.9%
i 953
9.9%
b 953
9.9%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
51.2%
A 953
48.8%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
953
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11531
92.4%
Common 953
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1906
16.5%
l 1906
16.5%
N 999
8.7%
o 999
8.7%
e 954
8.3%
t 953
8.3%
A 953
8.3%
v 953
8.3%
i 953
8.3%
b 953
8.3%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
953
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1906
15.3%
l 1906
15.3%
N 999
8.0%
o 999
8.0%
e 954
7.6%
t 953
7.6%
953
7.6%
A 953
7.6%
v 953
7.6%
i 953
7.6%
Other values (3) 955
7.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:40:54.663469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.571
Min length2

Characters and Unicode

Total characters12571
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 961
49.0%
available 961
49.0%
no 39
 
2.0%
2023-12-09T20:40:54.945275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1922
15.3%
l 1922
15.3%
N 1000
8.0%
o 1000
8.0%
t 961
7.6%
961
7.6%
A 961
7.6%
v 961
7.6%
i 961
7.6%
b 961
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9649
76.8%
Uppercase Letter 1961
 
15.6%
Space Separator 961
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1922
19.9%
l 1922
19.9%
o 1000
10.4%
t 961
10.0%
v 961
10.0%
i 961
10.0%
b 961
10.0%
e 961
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
51.0%
A 961
49.0%
Space Separator
ValueCountFrequency (%)
961
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11610
92.4%
Common 961
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1922
16.6%
l 1922
16.6%
N 1000
8.6%
o 1000
8.6%
t 961
8.3%
A 961
8.3%
v 961
8.3%
i 961
8.3%
b 961
8.3%
e 961
8.3%
Common
ValueCountFrequency (%)
961
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1922
15.3%
l 1922
15.3%
N 1000
8.0%
o 1000
8.0%
t 961
7.6%
961
7.6%
A 961
7.6%
v 961
7.6%
i 961
7.6%
b 961
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:40:55.117169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.135
Min length2

Characters and Unicode

Total characters12135
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 921
47.9%
available 921
47.9%
no 75
 
3.9%
yes 4
 
0.2%
2023-12-09T20:40:55.929957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 996
8.2%
o 996
8.2%
e 925
7.6%
t 921
7.6%
921
7.6%
A 921
7.6%
v 921
7.6%
i 921
7.6%
Other values (3) 929
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9293
76.6%
Uppercase Letter 1921
 
15.8%
Space Separator 921
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1842
19.8%
l 1842
19.8%
o 996
10.7%
e 925
10.0%
t 921
9.9%
v 921
9.9%
i 921
9.9%
b 921
9.9%
s 4
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
51.8%
A 921
47.9%
Y 4
 
0.2%
Space Separator
ValueCountFrequency (%)
921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11214
92.4%
Common 921
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1842
16.4%
l 1842
16.4%
N 996
8.9%
o 996
8.9%
e 925
8.2%
t 921
8.2%
A 921
8.2%
v 921
8.2%
i 921
8.2%
b 921
8.2%
Other values (2) 8
 
0.1%
Common
ValueCountFrequency (%)
921
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 996
8.2%
o 996
8.2%
e 925
7.6%
t 921
7.6%
921
7.6%
A 921
7.6%
v 921
7.6%
i 921
7.6%
Other values (3) 929
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:40:56.072581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.022
Min length4

Characters and Unicode

Total characters4022
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row88.7
2nd row88.7
3rd row88.7
4th row88.7
5th row88.7
ValueCountFrequency (%)
92.8 732
73.1%
88.7 262
 
26.1%
not 2
 
0.2%
available 2
 
0.2%
237.4 2
 
0.2%
160.3 1
 
0.1%
160.1 1
 
0.1%
2023-12-09T20:40:56.329819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1256
31.2%
. 998
24.8%
2 734
18.2%
9 732
18.2%
7 264
 
6.6%
l 4
 
0.1%
a 4
 
0.1%
1 3
 
0.1%
3 3
 
0.1%
6 2
 
< 0.1%
Other values (11) 22
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2998
74.5%
Other Punctuation 998
 
24.8%
Lowercase Letter 20
 
0.5%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1256
41.9%
2 734
24.5%
9 732
24.4%
7 264
 
8.8%
1 3
 
0.1%
3 3
 
0.1%
6 2
 
0.1%
4 2
 
0.1%
0 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
e 2
10.0%
b 2
10.0%
v 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
N 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 998
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3998
99.4%
Latin 24
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1256
31.4%
. 998
25.0%
2 734
18.4%
9 732
18.3%
7 264
 
6.6%
1 3
 
0.1%
3 3
 
0.1%
6 2
 
0.1%
4 2
 
0.1%
2
 
0.1%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
e 2
8.3%
b 2
8.3%
v 2
8.3%
i 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
N 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1256
31.2%
. 998
24.8%
2 734
18.2%
9 732
18.2%
7 264
 
6.6%
l 4
 
0.1%
a 4
 
0.1%
1 3
 
0.1%
3 3
 
0.1%
6 2
 
< 0.1%
Other values (11) 22
 
0.5%
Distinct946
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:40:56.773258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.065
Min length1

Characters and Unicode

Total characters5065
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique920 ?
Unique (%)92.0%

Sample

1st row2257.7
2nd row876.9
3rd row689.6
4th row99.6
5th row675.1
ValueCountFrequency (%)
0 20
 
2.0%
available 12
 
1.2%
not 12
 
1.2%
86813 2
 
0.2%
317.8 2
 
0.2%
159 2
 
0.2%
497.1 2
 
0.2%
477.7 2
 
0.2%
186.2 2
 
0.2%
447.3 2
 
0.2%
Other values (937) 954
94.3%
2023-12-09T20:40:57.350151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 869
17.2%
1 557
11.0%
2 474
9.4%
4 471
9.3%
3 459
9.1%
5 390
7.7%
7 369
7.3%
9 362
7.1%
8 361
7.1%
6 346
 
6.8%
Other values (12) 407
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4040
79.8%
Other Punctuation 869
 
17.2%
Lowercase Letter 120
 
2.4%
Uppercase Letter 24
 
0.5%
Space Separator 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 557
13.8%
2 474
11.7%
4 471
11.7%
3 459
11.4%
5 390
9.7%
7 369
9.1%
9 362
9.0%
8 361
8.9%
6 346
8.6%
0 251
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 24
20.0%
a 24
20.0%
b 12
10.0%
i 12
10.0%
v 12
10.0%
t 12
10.0%
o 12
10.0%
e 12
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 12
50.0%
A 12
50.0%
Other Punctuation
ValueCountFrequency (%)
. 869
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4921
97.2%
Latin 144
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 869
17.7%
1 557
11.3%
2 474
9.6%
4 471
9.6%
3 459
9.3%
5 390
7.9%
7 369
7.5%
9 362
7.4%
8 361
7.3%
6 346
 
7.0%
Other values (2) 263
 
5.3%
Latin
ValueCountFrequency (%)
l 24
16.7%
a 24
16.7%
N 12
8.3%
b 12
8.3%
i 12
8.3%
v 12
8.3%
A 12
8.3%
t 12
8.3%
o 12
8.3%
e 12
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 869
17.2%
1 557
11.0%
2 474
9.4%
4 471
9.3%
3 459
9.1%
5 390
7.7%
7 369
7.3%
9 362
7.1%
8 361
7.1%
6 346
 
6.8%
Other values (12) 407
8.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size57.6 KiB
2023-12-09T20:40:57.490576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.818
Min length1

Characters and Unicode

Total characters1818
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 931
87.3%
not 67
 
6.3%
available 67
 
6.3%
15.61917 1
 
0.1%
45.48083 1
 
0.1%
2023-12-09T20:40:57.724582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 932
51.3%
a 134
 
7.4%
l 134
 
7.4%
e 67
 
3.7%
N 67
 
3.7%
i 67
 
3.7%
b 67
 
3.7%
v 67
 
3.7%
A 67
 
3.7%
67
 
3.7%
Other values (11) 149
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 945
52.0%
Lowercase Letter 670
36.9%
Uppercase Letter 134
 
7.4%
Space Separator 67
 
3.7%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 932
98.6%
1 3
 
0.3%
5 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
6 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 134
20.0%
l 134
20.0%
e 67
10.0%
i 67
10.0%
b 67
10.0%
v 67
10.0%
t 67
10.0%
o 67
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 67
50.0%
A 67
50.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1014
55.8%
Latin 804
44.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 932
91.9%
67
 
6.6%
1 3
 
0.3%
5 2
 
0.2%
. 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
6 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
a 134
16.7%
l 134
16.7%
e 67
8.3%
N 67
8.3%
i 67
8.3%
b 67
8.3%
v 67
8.3%
A 67
8.3%
t 67
8.3%
o 67
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 932
51.3%
a 134
 
7.4%
l 134
 
7.4%
e 67
 
3.7%
N 67
 
3.7%
i 67
 
3.7%
b 67
 
3.7%
v 67
 
3.7%
A 67
 
3.7%
67
 
3.7%
Other values (11) 149
 
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:57.896164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length1

Characters and Unicode

Total characters12966
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
100 1
 
0.1%
2023-12-09T20:40:58.180831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
80.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.5%
0 4
 
0.4%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (3) 1002
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:58.352294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length3

Characters and Unicode

Total characters12980
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
40.63131 1
 
0.1%
15.61917 1
 
0.1%
100 1
 
0.1%
2023-12-09T20:40:58.635283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
0 3
17.6%
6 2
 
11.8%
3 2
 
11.8%
4 1
 
5.9%
5 1
 
5.9%
9 1
 
5.9%
7 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.1%
1 6
 
0.6%
0 3
 
0.3%
. 2
 
0.2%
6 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1016
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:58.803580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:40:59.081479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:59.249075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:40:59.535572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:40:59.705785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1000074571 1
 
0.1%
1000002490 1
 
0.1%
2023-12-09T20:41:00.000933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 20
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 10
50.0%
1 3
 
15.0%
7 2
 
10.0%
4 2
 
10.0%
5 1
 
5.0%
2 1
 
5.0%
9 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
0 10
 
1.0%
1 3
 
0.3%
7 2
 
0.2%
4 2
 
0.2%
5 1
 
0.1%
2 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct515
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:41:00.350953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique485 ?
Unique (%)48.5%

Sample

1st row02/01/2018 04:19 PM EST
2nd row09/13/2017 02:18 PM EDT
3rd row01/18/2018 11:12 AM EST
4th row01/31/2018 01:36 PM EST
5th row01/18/2018 11:38 AM EST
ValueCountFrequency (%)
edt 900
22.5%
pm 730
18.2%
08/07/2016 391
 
9.8%
am 270
 
6.8%
09:10 178
 
4.5%
est 100
 
2.5%
09/07/2017 76
 
1.9%
09:11 57
 
1.4%
09:15 44
 
1.1%
09:14 38
 
0.9%
Other values (505) 1216
30.4%
2023-12-09T20:41:00.822160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3694
16.1%
3000
13.0%
1 2551
11.1%
/ 2000
8.7%
2 1659
 
7.2%
7 1305
 
5.7%
M 1000
 
4.3%
T 1000
 
4.3%
: 1000
 
4.3%
E 1000
 
4.3%
Other values (10) 4791
20.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3694
30.8%
1 2551
21.3%
2 1659
13.8%
7 1305
 
10.9%
6 631
 
5.3%
9 619
 
5.2%
8 584
 
4.9%
3 350
 
2.9%
4 308
 
2.6%
5 299
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 900
18.0%
P 730
14.6%
A 270
 
5.4%
S 100
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3694
20.5%
3000
16.7%
1 2551
14.2%
/ 2000
11.1%
2 1659
9.2%
7 1305
 
7.2%
: 1000
 
5.6%
6 631
 
3.5%
9 619
 
3.4%
8 584
 
3.2%
Other values (3) 957
 
5.3%
Latin
ValueCountFrequency (%)
M 1000
20.0%
T 1000
20.0%
E 1000
20.0%
D 900
18.0%
P 730
14.6%
A 270
 
5.4%
S 100
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3694
16.1%
3000
13.0%
1 2551
11.1%
/ 2000
8.7%
2 1659
 
7.2%
7 1305
 
5.7%
M 1000
 
4.3%
T 1000
 
4.3%
: 1000
 
4.3%
E 1000
 
4.3%
Other values (10) 4791
20.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:01.004070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
133885 1
 
0.1%
129654 1
 
0.1%
2023-12-09T20:41:01.301363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
16.7%
3 2
16.7%
8 2
16.7%
5 2
16.7%
2 1
8.3%
9 1
8.3%
6 1
8.3%
4 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
1 2
 
0.2%
3 2
 
0.2%
8 2
 
0.2%
5 2
 
0.2%
2 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1010
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:01.469956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
534472 1
 
0.1%
2023-12-09T20:41:01.760873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
5 1
16.7%
3 1
16.7%
7 1
16.7%
2 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
4 2
 
0.2%
5 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:01.927046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:02.210835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:02.387931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.956
Min length4

Characters and Unicode

Total characters12956
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
3600 1
 
0.1%
2100 1
 
0.1%
5506 1
 
0.1%
11605 1
 
0.1%
3000 1
 
0.1%
2023-12-09T20:41:02.676764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1990
15.4%
a 1990
15.4%
e 995
7.7%
b 995
7.7%
o 995
7.7%
i 995
7.7%
N 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (7) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1990
20.0%
a 1990
20.0%
e 995
10.0%
b 995
10.0%
o 995
10.0%
i 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
42.9%
6 3
 
14.3%
1 3
 
14.3%
5 3
 
14.3%
3 2
 
9.5%
2 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1990
16.7%
a 1990
16.7%
e 995
8.3%
b 995
8.3%
o 995
8.3%
i 995
8.3%
N 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.9%
0 9
 
0.9%
6 3
 
0.3%
1 3
 
0.3%
5 3
 
0.3%
3 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1990
15.4%
a 1990
15.4%
e 995
7.7%
b 995
7.7%
o 995
7.7%
i 995
7.7%
N 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (7) 1016
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:02.862383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.947
Min length1

Characters and Unicode

Total characters12947
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
15 2
 
0.1%
23.21 1
 
0.1%
20 1
 
0.1%
7 1
 
0.1%
2023-12-09T20:41:03.166788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.9%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 11
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 995
10.0%
o 995
10.0%
i 995
10.0%
b 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
2 3
27.3%
5 2
18.2%
3 1
 
9.1%
0 1
 
9.1%
7 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
e 995
8.3%
o 995
8.3%
i 995
8.3%
b 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
98.8%
1 3
 
0.3%
2 3
 
0.3%
5 2
 
0.2%
3 1
 
0.1%
. 1
 
0.1%
0 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
e 995
7.7%
o 995
7.7%
i 995
7.7%
b 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (8) 1007
7.8%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:03.355669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.932
Min length4

Characters and Unicode

Total characters12932
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
1809 2
 
0.1%
105609 1
 
0.1%
365000 1
 
0.1%
195123 1
 
0.1%
126418 1
 
0.1%
63206 1
 
0.1%
152011 1
 
0.1%
146855 1
 
0.1%
2023-12-09T20:41:03.683241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1040
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.6%
Uppercase Letter 1982
 
15.3%
Space Separator 991
 
7.7%
Decimal Number 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
22.4%
0 9
18.4%
5 6
12.2%
6 6
12.2%
8 4
 
8.2%
9 4
 
8.2%
2 4
 
8.2%
3 3
 
6.1%
4 2
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
o 991
10.0%
b 991
10.0%
i 991
10.0%
e 991
10.0%
v 991
10.0%
t 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.0%
Common 1040
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
o 991
8.3%
b 991
8.3%
i 991
8.3%
e 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
95.3%
1 11
 
1.1%
0 9
 
0.9%
5 6
 
0.6%
6 6
 
0.6%
8 4
 
0.4%
9 4
 
0.4%
2 4
 
0.4%
3 3
 
0.3%
4 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1040
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:03.860381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length2

Characters and Unicode

Total characters12968
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
12 2
 
0.1%
200 1
 
0.1%
2023-12-09T20:41:04.151480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
0 2
28.6%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
2 3
 
0.3%
1 2
 
0.2%
0 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1004
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:04.325207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:04.608059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:04.776227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:05.058486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:05.236783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:05.516541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:05.697391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.931
Min length3

Characters and Unicode

Total characters12931
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
500 1
 
0.1%
99408 1
 
0.1%
5450 1
 
0.1%
545 1
 
0.1%
58978 1
 
0.1%
74400 1
 
0.1%
15000 1
 
0.1%
49700 1
 
0.1%
2023-12-09T20:41:06.057780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (8) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 992
10.0%
o 992
10.0%
i 992
10.0%
b 992
10.0%
v 992
10.0%
t 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 11
31.4%
5 7
20.0%
4 6
17.1%
9 4
 
11.4%
8 3
 
8.6%
7 3
 
8.6%
1 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1027
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
e 992
8.3%
o 992
8.3%
i 992
8.3%
b 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
96.6%
0 11
 
1.1%
5 7
 
0.7%
4 6
 
0.6%
9 4
 
0.4%
8 3
 
0.3%
7 3
 
0.3%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (8) 1027
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:06.265172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:41:06.610206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:06.798939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:41:07.140134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:07.328484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:41:07.613379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:07.790991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length6

Characters and Unicode

Total characters12978
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
882075.1 1
 
0.1%
5046290.7 1
 
0.1%
359210 1
 
0.1%
6143080 1
 
0.1%
2023-12-09T20:41:08.144319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.3%
l 1992
15.3%
N 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
e 996
7.7%
Other values (12) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.7%
Uppercase Letter 1992
 
15.3%
Space Separator 996
 
7.7%
Decimal Number 28
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
21.4%
5 3
10.7%
1 3
10.7%
8 3
10.7%
2 3
10.7%
7 2
 
7.1%
4 2
 
7.1%
6 2
 
7.1%
9 2
 
7.1%
3 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
o 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.1%
0 6
 
0.6%
5 3
 
0.3%
1 3
 
0.3%
8 3
 
0.3%
2 3
 
0.3%
7 2
 
0.2%
. 2
 
0.2%
4 2
 
0.2%
6 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
o 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.3%
l 1992
15.3%
N 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
e 996
7.7%
Other values (12) 1026
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:08.332627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length9

Characters and Unicode

Total characters12986
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
9450270.2 1
 
0.1%
54064343.2 1
 
0.1%
3848461.1 1
 
0.1%
65814993.2 1
 
0.1%
2023-12-09T20:41:08.651789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.3%
a 1992
15.3%
o 996
7.7%
e 996
7.7%
b 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (12) 1034
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.7%
Uppercase Letter 1992
 
15.3%
Space Separator 996
 
7.7%
Decimal Number 34
 
0.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7
20.6%
3 4
11.8%
2 4
11.8%
8 3
8.8%
6 3
8.8%
9 3
8.8%
0 3
8.8%
5 3
8.8%
1 3
8.8%
7 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
o 996
10.0%
e 996
10.0%
b 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.0%
Common 1034
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
996
96.3%
4 7
 
0.7%
. 4
 
0.4%
3 4
 
0.4%
2 4
 
0.4%
8 3
 
0.3%
6 3
 
0.3%
9 3
 
0.3%
0 3
 
0.3%
5 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
o 996
8.3%
e 996
8.3%
b 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.3%
a 1992
15.3%
o 996
7.7%
e 996
7.7%
b 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (12) 1034
8.0%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:08.821951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:09.099010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:09.268260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:09.547495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:09.724128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.942
Min length1

Characters and Unicode

Total characters12942
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
0 3
 
0.2%
882075.1 1
 
0.1%
5046290.7 1
 
0.1%
359210 1
 
0.1%
6143080 1
 
0.1%
2023-12-09T20:41:10.026808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (12) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 31
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
29.0%
8 3
 
9.7%
2 3
 
9.7%
5 3
 
9.7%
1 3
 
9.7%
7 2
 
6.5%
4 2
 
6.5%
6 2
 
6.5%
9 2
 
6.5%
3 2
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
t 993
10.0%
v 993
10.0%
i 993
10.0%
b 993
10.0%
e 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
993
96.8%
0 9
 
0.9%
8 3
 
0.3%
2 3
 
0.3%
5 3
 
0.3%
1 3
 
0.3%
7 2
 
0.2%
. 2
 
0.2%
4 2
 
0.2%
6 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
t 993
8.3%
A 993
8.3%
v 993
8.3%
i 993
8.3%
b 993
8.3%
e 993
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
t 993
7.7%
993
7.7%
A 993
7.7%
v 993
7.7%
i 993
7.7%
b 993
7.7%
Other values (12) 1026
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:10.200536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.936
Min length1

Characters and Unicode

Total characters12936
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
n+1 3
 
0.2%
n 2
 
0.1%
n+2 1
 
0.1%
2023-12-09T20:41:10.489443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 1000
7.7%
o 994
7.7%
t 994
7.7%
994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (4) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 994
 
7.7%
Math Symbol 4
 
< 0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
t 994
10.0%
v 994
10.0%
i 994
10.0%
b 994
10.0%
e 994
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.2%
A 994
49.8%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
994
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11934
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 1000
8.4%
o 994
8.3%
t 994
8.3%
A 994
8.3%
v 994
8.3%
i 994
8.3%
b 994
8.3%
e 994
8.3%
Common
ValueCountFrequency (%)
994
99.2%
+ 4
 
0.4%
1 3
 
0.3%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 1000
7.7%
o 994
7.7%
t 994
7.7%
994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (4) 1002
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.9 KiB
2023-12-09T20:41:10.683190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length73
Median length13
Mean length13.426
Min length13

Characters and Unicode

Total characters13426
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
48.4%
available 992
48.4%
ups 8
 
0.4%
uninterruptible 7
 
0.3%
power 7
 
0.3%
supply 7
 
0.3%
supports 7
 
0.3%
only 7
 
0.3%
it 7
 
0.3%
equipment 7
 
0.3%
Other values (4) 10
 
0.5%
2023-12-09T20:41:10.999363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2006
14.9%
a 1986
14.8%
1051
7.8%
e 1041
7.8%
t 1021
7.6%
i 1015
7.6%
o 1014
7.6%
b 999
7.4%
N 993
7.4%
v 992
7.4%
Other values (23) 1308
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10294
76.7%
Uppercase Letter 2053
 
15.3%
Space Separator 1051
 
7.8%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2006
19.5%
a 1986
19.3%
e 1041
10.1%
t 1021
9.9%
i 1015
9.9%
o 1014
9.9%
b 999
9.7%
v 992
9.6%
r 49
 
0.5%
p 49
 
0.5%
Other values (10) 122
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
N 993
48.4%
A 992
48.3%
S 15
 
0.7%
P 15
 
0.7%
U 15
 
0.7%
I 7
 
0.3%
T 7
 
0.3%
E 7
 
0.3%
F 1
 
< 0.1%
H 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1051
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12347
92.0%
Common 1079
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2006
16.2%
a 1986
16.1%
e 1041
8.4%
t 1021
8.3%
i 1015
8.2%
o 1014
8.2%
b 999
8.1%
N 993
8.0%
v 992
8.0%
A 992
8.0%
Other values (20) 288
 
2.3%
Common
ValueCountFrequency (%)
1051
97.4%
( 14
 
1.3%
) 14
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2006
14.9%
a 1986
14.8%
1051
7.8%
e 1041
7.8%
t 1021
7.6%
i 1015
7.6%
o 1014
7.6%
b 999
7.4%
N 993
7.4%
v 992
7.4%
Other values (23) 1308
9.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:11.173401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length1

Characters and Unicode

Total characters12941
Distinct characters15
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
n+1 3
 
0.2%
n 2
 
0.1%
n+2 2
 
0.1%
2023-12-09T20:41:11.460271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 1001
7.7%
995
7.7%
o 994
7.7%
t 994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (5) 1005
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.8%
Uppercase Letter 1995
 
15.4%
Space Separator 995
 
7.7%
Math Symbol 5
 
< 0.1%
Decimal Number 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
t 994
10.0%
v 994
10.0%
i 994
10.0%
b 994
10.0%
e 994
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1001
50.2%
A 994
49.8%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11935
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 1001
8.4%
o 994
8.3%
t 994
8.3%
A 994
8.3%
v 994
8.3%
i 994
8.3%
b 994
8.3%
e 994
8.3%
Common
ValueCountFrequency (%)
995
98.9%
+ 5
 
0.5%
1 3
 
0.3%
2 2
 
0.2%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 1001
7.7%
995
7.7%
o 994
7.7%
t 994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (5) 1005
7.8%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:11.641562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.954
Min length5

Characters and Unicode

Total characters12954
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
48000 1
 
0.1%
19250 1
 
0.1%
91000 1
 
0.1%
100284 1
 
0.1%
102250 1
 
0.1%
88000 1
 
0.1%
2023-12-09T20:41:11.950907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (8) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.7%
Uppercase Letter 1988
 
15.3%
Space Separator 994
 
7.7%
Decimal Number 32
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
e 994
10.0%
o 994
10.0%
i 994
10.0%
b 994
10.0%
v 994
10.0%
t 994
10.0%
Decimal Number
ValueCountFrequency (%)
0 14
43.8%
8 4
 
12.5%
1 4
 
12.5%
2 4
 
12.5%
4 2
 
6.2%
9 2
 
6.2%
5 2
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.1%
Common 1026
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
e 994
8.3%
o 994
8.3%
i 994
8.3%
b 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
96.9%
0 14
 
1.4%
8 4
 
0.4%
1 4
 
0.4%
2 4
 
0.4%
4 2
 
0.2%
9 2
 
0.2%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (8) 1026
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:12.778796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
723221 1
 
0.1%
2023-12-09T20:41:13.070974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
7 1
 
16.7%
3 1
 
16.7%
1 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
2 3
 
0.3%
7 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:13.237038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:13.522254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:13.708017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.929
Min length4

Characters and Unicode

Total characters12929
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
2000 2
 
0.1%
1870 1
 
0.1%
1200 1
 
0.1%
8757 1
 
0.1%
10000 1
 
0.1%
4220 1
 
0.1%
2719 1
 
0.1%
2023-12-09T20:41:14.009220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 33
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 992
10.0%
o 992
10.0%
i 992
10.0%
b 992
10.0%
v 992
10.0%
t 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 14
42.4%
2 6
18.2%
1 4
 
12.1%
7 4
 
12.1%
8 2
 
6.1%
5 1
 
3.0%
4 1
 
3.0%
9 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1025
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
e 992
8.3%
o 992
8.3%
i 992
8.3%
b 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
96.8%
0 14
 
1.4%
2 6
 
0.6%
1 4
 
0.4%
7 4
 
0.4%
8 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1025
7.9%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:14.211013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length4

Characters and Unicode

Total characters12880
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
11938 1
 
0.1%
170224 1
 
0.1%
5240 1
 
0.1%
5020 1
 
0.1%
61000 1
 
0.1%
4556 1
 
0.1%
119500 1
 
0.1%
10000 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:41:14.533007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1060
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 75
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
21.3%
0 15
20.0%
2 9
12.0%
5 8
10.7%
4 7
9.3%
6 5
 
6.7%
9 5
 
6.7%
8 4
 
5.3%
3 3
 
4.0%
7 3
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.8%
Common 1060
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.9%
1 16
 
1.5%
0 15
 
1.4%
2 9
 
0.8%
5 8
 
0.8%
4 7
 
0.7%
6 5
 
0.5%
9 5
 
0.5%
8 4
 
0.4%
3 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1060
8.2%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:14.733379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.857
Min length1

Characters and Unicode

Total characters12857
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
8 2
 
0.1%
10.04 1
 
0.1%
1600 1
 
0.1%
23.88 1
 
0.1%
358 1
 
0.1%
1280 1
 
0.1%
8.51 1
 
0.1%
23.23 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:41:15.047011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1037
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.6%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 47
 
0.4%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 10
21.3%
0 10
21.3%
1 7
14.9%
3 7
14.9%
2 6
12.8%
5 3
 
6.4%
4 2
 
4.3%
6 1
 
2.1%
9 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.9%
Common 1037
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
985
95.0%
8 10
 
1.0%
0 10
 
1.0%
1 7
 
0.7%
3 7
 
0.7%
2 6
 
0.6%
. 5
 
0.5%
5 3
 
0.3%
4 2
 
0.2%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1037
8.1%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:15.241402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.857
Min length1

Characters and Unicode

Total characters12857
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
10 2
 
0.1%
1825 1
 
0.1%
27.46 1
 
0.1%
1600 1
 
0.1%
358 1
 
0.1%
1280 1
 
0.1%
2777.81 1
 
0.1%
11.55 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:41:15.556200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (12) 1037
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.6%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 47
 
0.4%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
19.1%
0 7
14.9%
2 6
12.8%
7 6
12.8%
8 5
10.6%
5 5
10.6%
6 3
 
6.4%
4 2
 
4.3%
3 2
 
4.3%
9 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.9%
Common 1037
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
985
95.0%
1 9
 
0.9%
0 7
 
0.7%
2 6
 
0.6%
7 6
 
0.6%
8 5
 
0.5%
5 5
 
0.5%
. 5
 
0.5%
6 3
 
0.3%
4 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Other values (12) 1037
8.1%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:15.741942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.84
Min length2

Characters and Unicode

Total characters12840
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
65 6
 
0.3%
84 1
 
0.1%
96 1
 
0.1%
70 1
 
0.1%
42.7 1
 
0.1%
52 1
 
0.1%
90 1
 
0.1%
64.72 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T20:41:16.044308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.7%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.7%
Decimal Number 33
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 8
24.2%
5 7
21.2%
7 4
12.1%
4 3
 
9.1%
0 3
 
9.1%
2 3
 
9.1%
9 2
 
6.1%
3 2
 
6.1%
8 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
92.1%
Common 1020
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
985
96.6%
6 8
 
0.8%
5 7
 
0.7%
7 4
 
0.4%
4 3
 
0.3%
0 3
 
0.3%
2 3
 
0.3%
9 2
 
0.2%
. 2
 
0.2%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.7%
o 985
7.7%
b 985
7.7%
i 985
7.7%
e 985
7.7%
v 985
7.7%
A 985
7.7%
985
7.7%
Other values (11) 1020
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:16.220214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
20357 1
 
0.1%
107958 1
 
0.1%
24289 1
 
0.1%
2023-12-09T20:41:16.528614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
18.8%
0 2
12.5%
5 2
12.5%
7 2
12.5%
9 2
12.5%
8 2
12.5%
3 1
 
6.2%
1 1
 
6.2%
4 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.4%
2 3
 
0.3%
0 2
 
0.2%
5 2
 
0.2%
7 2
 
0.2%
9 2
 
0.2%
8 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1013
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:16.701962image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
2200 1
 
0.1%
5300 1
 
0.1%
2023-12-09T20:41:16.984042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
2 2
25.0%
5 1
 
12.5%
3 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
0 4
 
0.4%
2 2
 
0.2%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1006
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:17.154178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
43240 1
 
0.1%
2023-12-09T20:41:17.458562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
3 1
20.0%
2 1
20.0%
0 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
4 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:17.648923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.892
Min length3

Characters and Unicode

Total characters12892
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
192.81 2
 
0.1%
7099 1
 
0.1%
342.19 1
 
0.1%
675.05 1
 
0.1%
448 1
 
0.1%
1530 1
 
0.1%
517.13 1
 
0.1%
358.98 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:17.960010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (12) 1048
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.6%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 55
 
0.4%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9
16.4%
9 8
14.5%
1 8
14.5%
3 6
10.9%
8 5
9.1%
0 5
9.1%
2 4
7.3%
7 4
7.3%
4 3
 
5.5%
6 3
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.9%
Common 1048
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
987
94.2%
5 9
 
0.9%
9 8
 
0.8%
1 8
 
0.8%
. 6
 
0.6%
3 6
 
0.6%
8 5
 
0.5%
0 5
 
0.5%
2 4
 
0.4%
7 4
 
0.4%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (12) 1048
8.1%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:18.150647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length3

Characters and Unicode

Total characters12904
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
2.6 4
 
0.2%
2.59999 2
 
0.1%
2.31785 1
 
0.1%
4.58368 1
 
0.1%
2.6006 1
 
0.1%
5.04001 1
 
0.1%
2.6016 1
 
0.1%
4.58402 1
 
0.1%
2023-12-09T20:41:18.456299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1060
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 60
 
0.5%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
18.3%
6 10
16.7%
9 9
15.0%
0 8
13.3%
5 7
11.7%
4 5
8.3%
8 4
 
6.7%
1 3
 
5.0%
3 2
 
3.3%
7 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.8%
Common 1060
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
93.1%
. 13
 
1.2%
2 11
 
1.0%
6 10
 
0.9%
9 9
 
0.8%
0 8
 
0.8%
5 7
 
0.7%
4 5
 
0.5%
8 4
 
0.4%
1 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
e 987
7.6%
Other values (12) 1060
8.2%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:18.653935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.908
Min length5

Characters and Unicode

Total characters12908
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
74158 2
 
0.1%
821392 1
 
0.1%
355550 1
 
0.1%
259635 1
 
0.1%
172268 1
 
0.1%
338424 1
 
0.1%
765486 1
 
0.1%
1408530 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:18.990431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
b 987
7.6%
i 987
7.6%
e 987
7.6%
v 987
7.6%
A 987
7.6%
987
7.6%
Other values (11) 1064
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 77
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 12
15.6%
1 10
13.0%
5 10
13.0%
3 9
11.7%
2 8
10.4%
4 7
9.1%
6 7
9.1%
0 6
7.8%
7 4
 
5.2%
9 4
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
b 987
10.0%
i 987
10.0%
e 987
10.0%
v 987
10.0%
t 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.8%
Common 1064
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.8%
8 12
 
1.1%
1 10
 
0.9%
5 10
 
0.9%
3 9
 
0.8%
2 8
 
0.8%
4 7
 
0.7%
6 7
 
0.7%
0 6
 
0.6%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
b 987
8.3%
i 987
8.3%
e 987
8.3%
v 987
8.3%
A 987
8.3%
t 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
b 987
7.6%
i 987
7.6%
e 987
7.6%
v 987
7.6%
A 987
7.6%
987
7.6%
Other values (11) 1064
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:19.172538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.948
Min length2

Characters and Unicode

Total characters12948
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.6%
available 992
49.6%
100 6
 
0.3%
yes 6
 
0.3%
no 2
 
0.1%
2023-12-09T20:41:19.472484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
998
7.7%
e 998
7.7%
N 994
7.7%
o 994
7.7%
t 992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
Other values (6) 1028
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9934
76.7%
Uppercase Letter 1992
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 998
10.0%
o 994
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
s 6
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 994
49.9%
A 992
49.8%
Y 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 12
66.7%
1 6
33.3%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
% 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11926
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.6%
l 1984
16.6%
e 998
8.4%
N 994
8.3%
o 994
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
Other values (2) 12
 
0.1%
Common
ValueCountFrequency (%)
998
97.7%
0 12
 
1.2%
1 6
 
0.6%
% 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
998
7.7%
e 998
7.7%
N 994
7.7%
o 994
7.7%
t 992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
Other values (6) 1028
7.9%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:19.668598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length3

Characters and Unicode

Total characters12888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
51.17 2
 
0.1%
119 1
 
0.1%
1069 1
 
0.1%
179.1 1
 
0.1%
137.24 1
 
0.1%
95.3 1
 
0.1%
207 1
 
0.1%
1.04 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:19.979637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1044
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.6%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 48
 
0.4%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
25.0%
9 6
12.5%
2 6
12.5%
5 6
12.5%
7 5
10.4%
0 4
 
8.3%
3 3
 
6.2%
4 3
 
6.2%
8 2
 
4.2%
6 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.9%
Common 1044
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
987
94.5%
1 12
 
1.1%
. 9
 
0.9%
9 6
 
0.6%
2 6
 
0.6%
5 6
 
0.6%
7 5
 
0.5%
0 4
 
0.4%
3 3
 
0.3%
4 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1044
8.1%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:20.172194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length4

Characters and Unicode

Total characters12910
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
0.69 4
 
0.2%
0.68992 2
 
0.1%
0.68981 1
 
0.1%
0.00371 1
 
0.1%
0.75895 1
 
0.1%
0.69024 1
 
0.1%
0.66485 1
 
0.1%
0.69078 1
 
0.1%
2023-12-09T20:41:20.485456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1066
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 66
 
0.5%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
27.3%
9 12
18.2%
6 11
16.7%
8 7
 
10.6%
2 5
 
7.6%
5 4
 
6.1%
1 3
 
4.5%
7 3
 
4.5%
4 2
 
3.0%
3 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.7%
Common 1066
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.6%
0 18
 
1.7%
. 13
 
1.2%
9 12
 
1.1%
6 11
 
1.0%
8 7
 
0.7%
2 5
 
0.5%
5 4
 
0.4%
1 3
 
0.3%
7 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1066
8.3%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:20.671211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.908
Min length1

Characters and Unicode

Total characters12908
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
20 1
 
0.1%
17 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
11 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
10 1
 
0.1%
2023-12-09T20:41:20.978717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1004
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 992
10.0%
o 992
10.0%
i 992
10.0%
b 992
10.0%
v 992
10.0%
t 992
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
0 2
16.7%
2 1
 
8.3%
7 1
 
8.3%
8 1
 
8.3%
6 1
 
8.3%
5 1
 
8.3%
3 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.2%
Common 1004
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
e 992
8.3%
o 992
8.3%
i 992
8.3%
b 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
98.8%
1 4
 
0.4%
0 2
 
0.2%
2 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
e 992
7.7%
o 992
7.7%
i 992
7.7%
b 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (9) 1004
7.8%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:21.174321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.915
Min length1

Characters and Unicode

Total characters12915
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
0.01348 2
 
0.1%
0.00243 1
 
0.1%
0.00295 1
 
0.1%
0 1
 
0.1%
0.00724 1
 
0.1%
0.00071 1
 
0.1%
0.00281 1
 
0.1%
0.00261 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:21.494111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1071
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.4%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 72
 
0.6%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
51.4%
3 6
 
8.3%
1 5
 
6.9%
8 5
 
6.9%
2 5
 
6.9%
5 5
 
6.9%
4 4
 
5.6%
7 3
 
4.2%
9 1
 
1.4%
6 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.7%
Common 1071
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.2%
0 37
 
3.5%
. 12
 
1.1%
3 6
 
0.6%
1 5
 
0.5%
8 5
 
0.5%
2 5
 
0.5%
5 5
 
0.5%
4 4
 
0.4%
7 3
 
0.3%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1071
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:21.673668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.844
Min length1

Characters and Unicode

Total characters12844
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
1 10
 
0.5%
2 2
 
0.1%
0 1
 
0.1%
2023-12-09T20:41:21.962039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.4%
l 1974
15.4%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.8%
Uppercase Letter 1974
 
15.4%
Space Separator 987
 
7.7%
Decimal Number 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Decimal Number
ValueCountFrequency (%)
1 10
76.9%
2 2
 
15.4%
0 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
Common
ValueCountFrequency (%)
987
98.7%
1 10
 
1.0%
2 2
 
0.2%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.4%
l 1974
15.4%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1000
7.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:22.152239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.873
Min length2

Characters and Unicode

Total characters12873
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
34.11 2
 
0.1%
713 2
 
0.1%
240 1
 
0.1%
357 1
 
0.1%
69 1
 
0.1%
70 1
 
0.1%
821 1
 
0.1%
80 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:41:22.474858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1029
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.7%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 39
 
0.3%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
23.1%
7 6
15.4%
3 5
12.8%
4 4
10.3%
0 3
 
7.7%
6 3
 
7.7%
9 3
 
7.7%
2 2
 
5.1%
5 2
 
5.1%
8 2
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
92.0%
Common 1029
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
987
95.9%
1 9
 
0.9%
7 6
 
0.6%
3 5
 
0.5%
4 4
 
0.4%
. 3
 
0.3%
0 3
 
0.3%
6 3
 
0.3%
9 3
 
0.3%
2 2
 
0.2%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1029
8.0%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:22.671392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.891
Min length3

Characters and Unicode

Total characters12891
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
97.89 2
 
0.1%
1010.44 1
 
0.1%
342.7 1
 
0.1%
469.3 1
 
0.1%
3315 1
 
0.1%
173.7 1
 
0.1%
227 1
 
0.1%
182.2 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:22.991599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1047
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.6%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 51
 
0.4%
Other Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 8
15.7%
2 7
13.7%
7 6
11.8%
1 6
11.8%
3 6
11.8%
4 5
9.8%
8 4
7.8%
0 4
7.8%
6 3
 
5.9%
5 2
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
o 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.9%
Common 1047
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
987
94.3%
. 9
 
0.9%
9 8
 
0.8%
2 7
 
0.7%
7 6
 
0.6%
1 6
 
0.6%
3 6
 
0.6%
4 5
 
0.5%
8 4
 
0.4%
0 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
o 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12891
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
e 987
7.7%
Other values (12) 1047
8.1%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:23.186820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length4

Characters and Unicode

Total characters12910
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
1.32 4
 
0.2%
1.31993 2
 
0.1%
1.31771 1
 
0.1%
1.31964 1
 
0.1%
0.48211 1
 
0.1%
2.35352 1
 
0.1%
1.31981 1
 
0.1%
0.00706 1
 
0.1%
2023-12-09T20:41:23.503073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1066
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 66
 
0.5%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
27.3%
3 14
21.2%
2 8
12.1%
9 8
12.1%
0 5
 
7.6%
7 3
 
4.5%
6 3
 
4.5%
5 3
 
4.5%
4 2
 
3.0%
8 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.7%
Common 1066
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
987
92.6%
1 18
 
1.7%
3 14
 
1.3%
. 13
 
1.2%
2 8
 
0.8%
9 8
 
0.8%
0 5
 
0.5%
7 3
 
0.3%
6 3
 
0.3%
5 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1066
8.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:23.680869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.881
Min length2

Characters and Unicode

Total characters12881
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.6%
available 987
49.6%
no 9
 
0.5%
100 4
 
0.2%
yes 4
 
0.2%
2023-12-09T20:41:23.975875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 996
7.7%
o 996
7.7%
991
7.7%
e 991
7.7%
t 987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
Other values (6) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9887
76.8%
Uppercase Letter 1987
 
15.4%
Space Separator 991
 
7.7%
Decimal Number 12
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 996
10.1%
e 991
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
s 4
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.1%
A 987
49.7%
Y 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
991
100.0%
Other Punctuation
ValueCountFrequency (%)
% 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11874
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.6%
l 1974
16.6%
N 996
8.4%
o 996
8.4%
e 991
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
Other values (2) 8
 
0.1%
Common
ValueCountFrequency (%)
991
98.4%
0 8
 
0.8%
1 4
 
0.4%
% 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 996
7.7%
o 996
7.7%
991
7.7%
e 991
7.7%
t 987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
Other values (6) 1011
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:24.156543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length10

Characters and Unicode

Total characters12979
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.6%
available 993
49.6%
non 7
 
0.4%
profit 7
 
0.4%
2023-12-09T20:41:24.462741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
o 1007
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 993
7.7%
v 993
7.7%
b 993
7.7%
Other values (5) 1021
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9979
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1986
19.9%
l 1986
19.9%
o 1007
10.1%
t 1000
10.0%
i 1000
10.0%
v 993
10.0%
b 993
10.0%
e 993
10.0%
n 7
 
0.1%
r 7
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 993
49.6%
P 7
 
0.4%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11979
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1986
16.6%
l 1986
16.6%
o 1007
8.4%
N 1000
8.3%
t 1000
8.3%
i 1000
8.3%
A 993
8.3%
v 993
8.3%
b 993
8.3%
e 993
8.3%
Other values (4) 28
 
0.2%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
o 1007
7.8%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 993
7.7%
v 993
7.7%
b 993
7.7%
Other values (5) 1021
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:24.637836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.869
Min length2

Characters and Unicode

Total characters12869
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
100 12
 
0.6%
80 1
 
0.1%
2023-12-09T20:41:24.939259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1025
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.7%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 38
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Decimal Number
ValueCountFrequency (%)
0 25
65.8%
1 12
31.6%
8 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
92.0%
Common 1025
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
Common
ValueCountFrequency (%)
987
96.3%
0 25
 
2.4%
1 12
 
1.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1025
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:25.122957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.869
Min length2

Characters and Unicode

Total characters12869
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
100 12
 
0.6%
80 1
 
0.1%
2023-12-09T20:41:25.420535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1025
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.7%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 38
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Decimal Number
ValueCountFrequency (%)
0 25
65.8%
1 12
31.6%
8 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
92.0%
Common 1025
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%
Common
ValueCountFrequency (%)
987
96.3%
0 25
 
2.4%
1 12
 
1.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
t 987
7.7%
987
7.7%
A 987
7.7%
v 987
7.7%
i 987
7.7%
b 987
7.7%
Other values (4) 1025
8.0%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:25.618428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.918
Min length4

Characters and Unicode

Total characters12918
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
0.45996 2
 
0.1%
1.37501 1
 
0.1%
2.3091 1
 
0.1%
0.93143 1
 
0.1%
0.49975 1
 
0.1%
0.47354 1
 
0.1%
0.85582 1
 
0.1%
0.53187 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:41:25.946818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1074
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.4%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.6%
Decimal Number 74
 
0.6%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
18.9%
4 11
14.9%
9 10
13.5%
5 8
10.8%
3 8
10.8%
6 6
8.1%
1 5
 
6.8%
8 5
 
6.8%
7 4
 
5.4%
2 3
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
t 987
10.0%
v 987
10.0%
i 987
10.0%
b 987
10.0%
e 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.7%
Common 1074
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
987
91.9%
0 14
 
1.3%
. 13
 
1.2%
4 11
 
1.0%
9 10
 
0.9%
5 8
 
0.7%
3 8
 
0.7%
6 6
 
0.6%
1 5
 
0.5%
8 5
 
0.5%
Other values (2) 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
t 987
8.3%
A 987
8.3%
v 987
8.3%
i 987
8.3%
b 987
8.3%
e 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.6%
o 987
7.6%
t 987
7.6%
987
7.6%
A 987
7.6%
v 987
7.6%
i 987
7.6%
b 987
7.6%
Other values (12) 1074
8.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:26.126598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.948
Min length2

Characters and Unicode

Total characters12948
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.6%
available 992
49.6%
100 6
 
0.3%
yes 6
 
0.3%
no 2
 
0.1%
2023-12-09T20:41:26.421700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
998
7.7%
e 998
7.7%
N 994
7.7%
o 994
7.7%
t 992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
Other values (6) 1028
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9934
76.7%
Uppercase Letter 1992
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 18
 
0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
e 998
10.0%
o 994
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
s 6
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 994
49.9%
A 992
49.8%
Y 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 12
66.7%
1 6
33.3%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
% 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11926
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.6%
l 1984
16.6%
e 998
8.4%
N 994
8.3%
o 994
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
Other values (2) 12
 
0.1%
Common
ValueCountFrequency (%)
998
97.7%
0 12
 
1.2%
1 6
 
0.6%
% 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
998
7.7%
e 998
7.7%
N 994
7.7%
o 994
7.7%
t 992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
Other values (6) 1028
7.9%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:26.654290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.742
Min length3

Characters and Unicode

Total characters12742
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
5000 2
 
0.1%
5924 1
 
0.1%
113000 1
 
0.1%
9548 1
 
0.1%
9593 1
 
0.1%
600 1
 
0.1%
60828 1
 
0.1%
1400 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:41:27.022117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1102
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.1%
Uppercase Letter 1940
 
15.2%
Space Separator 970
 
7.6%
Decimal Number 132
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
28.0%
1 17
12.9%
5 12
 
9.1%
8 12
 
9.1%
4 11
 
8.3%
3 10
 
7.6%
9 9
 
6.8%
7 8
 
6.1%
6 8
 
6.1%
2 8
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.4%
Common 1102
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
970
88.0%
0 37
 
3.4%
1 17
 
1.5%
5 12
 
1.1%
8 12
 
1.1%
4 11
 
1.0%
3 10
 
0.9%
9 9
 
0.8%
7 8
 
0.7%
6 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1102
8.6%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:27.210168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.928
Min length1

Characters and Unicode

Total characters12928
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 4
 
0.2%
0.00851 1
 
0.1%
0.51151 1
 
0.1%
0.06472 1
 
0.1%
0.00495 1
 
0.1%
2023-12-09T20:41:27.515627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 28
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
46.4%
5 4
 
14.3%
1 4
 
14.3%
4 2
 
7.1%
8 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
2 1
 
3.6%
9 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1024
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
992
96.9%
0 13
 
1.3%
. 4
 
0.4%
5 4
 
0.4%
1 4
 
0.4%
4 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1024
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:27.694608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 4
 
0.2%
1 2
 
0.1%
7 1
 
0.1%
2 1
 
0.1%
2023-12-09T20:41:28.021020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (5) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 2
25.0%
7 1
 
12.5%
2 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 4
 
0.4%
1 2
 
0.2%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (5) 1000
7.7%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:28.249580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.693
Min length1

Characters and Unicode

Total characters12693
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
3 2
 
0.1%
5 2
 
0.1%
8 2
 
0.1%
1 1
 
0.1%
4.95 1
 
0.1%
1000 1
 
0.1%
320 1
 
0.1%
500 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T20:41:28.612886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
t 970
7.6%
970
7.6%
A 970
7.6%
v 970
7.6%
i 970
7.6%
b 970
7.6%
e 970
7.6%
Other values (12) 1053
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.4%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.6%
Decimal Number 72
 
0.6%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
16.7%
0 11
15.3%
6 9
12.5%
3 8
11.1%
5 7
9.7%
4 7
9.7%
9 6
8.3%
2 5
6.9%
8 4
 
5.6%
7 3
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
t 970
10.0%
v 970
10.0%
i 970
10.0%
b 970
10.0%
e 970
10.0%
o 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.7%
Common 1053
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
970
92.1%
1 12
 
1.1%
. 11
 
1.0%
0 11
 
1.0%
6 9
 
0.9%
3 8
 
0.8%
5 7
 
0.7%
4 7
 
0.7%
9 6
 
0.6%
2 5
 
0.5%
Other values (2) 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
t 970
8.3%
A 970
8.3%
v 970
8.3%
i 970
8.3%
b 970
8.3%
e 970
8.3%
o 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
t 970
7.6%
970
7.6%
A 970
7.6%
v 970
7.6%
i 970
7.6%
b 970
7.6%
e 970
7.6%
Other values (12) 1053
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:28.797823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.699
Min length2

Characters and Unicode

Total characters12699
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
100 26
 
1.3%
90 3
 
0.2%
62.71 1
 
0.1%
2023-12-09T20:41:29.093446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
e 970
7.6%
o 970
7.6%
i 970
7.6%
b 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (8) 1059
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.4%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.6%
Decimal Number 88
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
e 970
10.0%
o 970
10.0%
i 970
10.0%
b 970
10.0%
v 970
10.0%
t 970
10.0%
Decimal Number
ValueCountFrequency (%)
0 55
62.5%
1 27
30.7%
9 3
 
3.4%
6 1
 
1.1%
2 1
 
1.1%
7 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.7%
Common 1059
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
e 970
8.3%
o 970
8.3%
i 970
8.3%
b 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%
Common
ValueCountFrequency (%)
970
91.6%
0 55
 
5.2%
1 27
 
2.5%
9 3
 
0.3%
6 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
e 970
7.6%
o 970
7.6%
i 970
7.6%
b 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (8) 1059
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:29.267996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.7
Min length2

Characters and Unicode

Total characters12700
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
100 27
 
1.4%
90 2
 
0.1%
62.71 1
 
0.1%
2023-12-09T20:41:29.563624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
e 970
7.6%
o 970
7.6%
i 970
7.6%
b 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (8) 1060
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.4%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.6%
Decimal Number 89
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
e 970
10.0%
o 970
10.0%
i 970
10.0%
b 970
10.0%
v 970
10.0%
t 970
10.0%
Decimal Number
ValueCountFrequency (%)
0 56
62.9%
1 28
31.5%
9 2
 
2.2%
6 1
 
1.1%
2 1
 
1.1%
7 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.7%
Common 1060
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
e 970
8.3%
o 970
8.3%
i 970
8.3%
b 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%
Common
ValueCountFrequency (%)
970
91.5%
0 56
 
5.3%
1 28
 
2.6%
9 2
 
0.2%
6 1
 
0.1%
2 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.6%
e 970
7.6%
o 970
7.6%
i 970
7.6%
b 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (8) 1060
8.3%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:29.748170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.673
Min length1

Characters and Unicode

Total characters12673
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
65 13
 
0.7%
50 6
 
0.3%
40 3
 
0.2%
95 2
 
0.1%
60 2
 
0.1%
0 1
 
0.1%
126 1
 
0.1%
61 1
 
0.1%
2023-12-09T20:41:30.061979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
o 970
7.7%
b 970
7.7%
i 970
7.7%
e 970
7.7%
v 970
7.7%
A 970
7.7%
970
7.7%
Other values (11) 1033
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.5%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.7%
Decimal Number 62
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 22
35.5%
6 17
27.4%
0 12
19.4%
4 3
 
4.8%
1 3
 
4.8%
9 2
 
3.2%
2 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.8%
Common 1033
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
970
93.9%
5 22
 
2.1%
6 17
 
1.6%
0 12
 
1.2%
4 3
 
0.3%
1 3
 
0.3%
9 2
 
0.2%
2 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
o 970
7.7%
b 970
7.7%
i 970
7.7%
e 970
7.7%
v 970
7.7%
A 970
7.7%
970
7.7%
Other values (11) 1033
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:30.236634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:30.544386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:30.719821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row77503
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1533 1
 
0.1%
77503 1
 
0.1%
2023-12-09T20:41:31.023298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
5 2
22.2%
7 2
22.2%
1 1
 
11.1%
0 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
3 3
 
0.3%
5 2
 
0.2%
7 2
 
0.2%
1 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1007
7.8%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:31.249557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.78
Min length5

Characters and Unicode

Total characters12780
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
42800 2
 
0.1%
125000 2
 
0.1%
82767 1
 
0.1%
60000 1
 
0.1%
120000 1
 
0.1%
322505 1
 
0.1%
61900 1
 
0.1%
87750 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T20:41:31.631448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1128
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.0%
Uppercase Letter 1942
 
15.2%
Space Separator 971
 
7.6%
Decimal Number 157
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
29.9%
1 22
14.0%
2 20
12.7%
5 16
 
10.2%
6 15
 
9.6%
8 12
 
7.6%
7 9
 
5.7%
9 7
 
4.5%
4 5
 
3.2%
3 4
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
o 971
10.0%
b 971
10.0%
i 971
10.0%
e 971
10.0%
v 971
10.0%
t 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.2%
Common 1128
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
971
86.1%
0 47
 
4.2%
1 22
 
2.0%
2 20
 
1.8%
5 16
 
1.4%
6 15
 
1.3%
8 12
 
1.1%
7 9
 
0.8%
9 7
 
0.6%
4 5
 
0.4%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
o 971
8.3%
b 971
8.3%
i 971
8.3%
e 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1128
8.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:31.815598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
360423 1
 
0.1%
2023-12-09T20:41:32.110743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 1
16.7%
0 1
16.7%
4 1
16.7%
2 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
3 2
 
0.2%
6 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:32.280310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:32.560808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:33.551601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:33.829719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:34.017727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.915
Min length5

Characters and Unicode

Total characters12915
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
65763 1
 
0.1%
36000 1
 
0.1%
72679 1
 
0.1%
220400 1
 
0.1%
64167 1
 
0.1%
63000 1
 
0.1%
51209 1
 
0.1%
169696 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:41:34.346757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1047
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.6%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 58
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
25.9%
6 10
17.2%
2 6
 
10.3%
1 6
 
10.3%
5 5
 
8.6%
9 5
 
8.6%
7 4
 
6.9%
3 3
 
5.2%
4 2
 
3.4%
8 2
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
91.9%
Common 1047
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
989
94.5%
0 15
 
1.4%
6 10
 
1.0%
2 6
 
0.6%
1 6
 
0.6%
5 5
 
0.5%
9 5
 
0.5%
7 4
 
0.4%
3 3
 
0.3%
4 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1047
8.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:34.521783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:34.810929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct535
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2023-12-09T20:41:35.221692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.538
Min length4

Characters and Unicode

Total characters8538
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)48.1%

Sample

1st row248830
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 400
28.6%
available 400
28.6%
50000 7
 
0.5%
104463 4
 
0.3%
55000 4
 
0.3%
80000 3
 
0.2%
100000 3
 
0.2%
56000 3
 
0.2%
52000 3
 
0.2%
1000518 2
 
0.1%
Other values (526) 571
40.8%
2023-12-09T20:41:35.766390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 800
 
9.4%
a 800
 
9.4%
0 768
 
9.0%
1 404
 
4.7%
N 400
 
4.7%
o 400
 
4.7%
b 400
 
4.7%
e 400
 
4.7%
i 400
 
4.7%
v 400
 
4.7%
Other values (11) 3366
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4000
46.8%
Decimal Number 3338
39.1%
Uppercase Letter 800
 
9.4%
Space Separator 400
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 768
23.0%
1 404
12.1%
5 345
10.3%
4 277
 
8.3%
2 275
 
8.2%
6 274
 
8.2%
8 271
 
8.1%
7 267
 
8.0%
3 240
 
7.2%
9 217
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 800
20.0%
a 800
20.0%
o 400
10.0%
b 400
10.0%
e 400
10.0%
i 400
10.0%
v 400
10.0%
t 400
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 400
50.0%
A 400
50.0%
Space Separator
ValueCountFrequency (%)
400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4800
56.2%
Common 3738
43.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 768
20.5%
1 404
10.8%
400
10.7%
5 345
9.2%
4 277
 
7.4%
2 275
 
7.4%
6 274
 
7.3%
8 271
 
7.2%
7 267
 
7.1%
3 240
 
6.4%
Latin
ValueCountFrequency (%)
l 800
16.7%
a 800
16.7%
N 400
8.3%
o 400
8.3%
b 400
8.3%
e 400
8.3%
i 400
8.3%
v 400
8.3%
A 400
8.3%
t 400
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 800
 
9.4%
a 800
 
9.4%
0 768
 
9.0%
1 404
 
4.7%
N 400
 
4.7%
o 400
 
4.7%
b 400
 
4.7%
e 400
 
4.7%
i 400
 
4.7%
v 400
 
4.7%
Other values (11) 3366
39.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T20:41:35.957901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.045
Min length2

Characters and Unicode

Total characters9045
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100% Yes
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 617
37.2%
available 617
37.2%
no 340
20.5%
100 43
 
2.6%
yes 43
 
2.6%
2023-12-09T20:41:36.251230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
13.6%
l 1234
13.6%
N 957
10.6%
o 957
10.6%
660
7.3%
e 660
7.3%
t 617
6.8%
A 617
6.8%
v 617
6.8%
i 617
6.8%
Other values (6) 875
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6596
72.9%
Uppercase Letter 1617
 
17.9%
Space Separator 660
 
7.3%
Decimal Number 129
 
1.4%
Other Punctuation 43
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1234
18.7%
l 1234
18.7%
o 957
14.5%
e 660
10.0%
t 617
9.4%
v 617
9.4%
i 617
9.4%
b 617
9.4%
s 43
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 957
59.2%
A 617
38.2%
Y 43
 
2.7%
Decimal Number
ValueCountFrequency (%)
0 86
66.7%
1 43
33.3%
Space Separator
ValueCountFrequency (%)
660
100.0%
Other Punctuation
ValueCountFrequency (%)
% 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8213
90.8%
Common 832
 
9.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1234
15.0%
l 1234
15.0%
N 957
11.7%
o 957
11.7%
e 660
8.0%
t 617
7.5%
A 617
7.5%
v 617
7.5%
i 617
7.5%
b 617
7.5%
Other values (2) 86
 
1.0%
Common
ValueCountFrequency (%)
660
79.3%
0 86
 
10.3%
1 43
 
5.2%
% 43
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
13.6%
l 1234
13.6%
N 957
10.6%
o 957
10.6%
660
7.3%
e 660
7.3%
t 617
6.8%
A 617
6.8%
v 617
6.8%
i 617
6.8%
Other values (6) 875
9.7%
Distinct375
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
2023-12-09T20:41:36.735304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.129
Min length1

Characters and Unicode

Total characters7129
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)26.1%

Sample

1st row761
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 400
28.6%
available 400
28.6%
0 15
 
1.1%
150 9
 
0.6%
90 7
 
0.5%
66 7
 
0.5%
80 6
 
0.4%
70 6
 
0.4%
60 6
 
0.4%
79 6
 
0.4%
Other values (366) 538
38.4%
2023-12-09T20:41:37.354697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 800
 
11.2%
l 800
 
11.2%
N 400
 
5.6%
t 400
 
5.6%
400
 
5.6%
A 400
 
5.6%
v 400
 
5.6%
i 400
 
5.6%
b 400
 
5.6%
e 400
 
5.6%
Other values (12) 2329
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4000
56.1%
Decimal Number 1817
25.5%
Uppercase Letter 800
 
11.2%
Space Separator 400
 
5.6%
Other Punctuation 112
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 343
18.9%
2 234
12.9%
0 199
11.0%
6 166
9.1%
8 160
8.8%
7 148
8.1%
3 148
8.1%
4 143
7.9%
9 142
7.8%
5 134
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 800
20.0%
l 800
20.0%
t 400
10.0%
v 400
10.0%
i 400
10.0%
b 400
10.0%
e 400
10.0%
o 400
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 400
50.0%
A 400
50.0%
Space Separator
ValueCountFrequency (%)
400
100.0%
Other Punctuation
ValueCountFrequency (%)
. 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4800
67.3%
Common 2329
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
400
17.2%
1 343
14.7%
2 234
10.0%
0 199
8.5%
6 166
7.1%
8 160
 
6.9%
7 148
 
6.4%
3 148
 
6.4%
4 143
 
6.1%
9 142
 
6.1%
Other values (2) 246
10.6%
Latin
ValueCountFrequency (%)
a 800
16.7%
l 800
16.7%
N 400
8.3%
t 400
8.3%
A 400
8.3%
v 400
8.3%
i 400
8.3%
b 400
8.3%
e 400
8.3%
o 400
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 800
 
11.2%
l 800
 
11.2%
N 400
 
5.6%
t 400
 
5.6%
400
 
5.6%
A 400
 
5.6%
v 400
 
5.6%
i 400
 
5.6%
b 400
 
5.6%
e 400
 
5.6%
Other values (12) 2329
32.7%
Distinct53
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2023-12-09T20:41:37.614323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.474
Min length1

Characters and Unicode

Total characters8474
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)3.5%

Sample

1st row0
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
0 299
18.5%
2 7
 
0.4%
1 6
 
0.4%
18 4
 
0.2%
6 4
 
0.2%
4 3
 
0.2%
12 3
 
0.2%
29 3
 
0.2%
Other values (44) 54
 
3.3%
2023-12-09T20:41:37.986115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
14.6%
l 1234
14.6%
N 617
7.3%
o 617
7.3%
b 617
7.3%
i 617
7.3%
e 617
7.3%
v 617
7.3%
A 617
7.3%
617
7.3%
Other values (11) 1070
12.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
72.8%
Uppercase Letter 1234
 
14.6%
Space Separator 617
 
7.3%
Decimal Number 453
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 312
68.9%
2 31
 
6.8%
1 31
 
6.8%
4 18
 
4.0%
5 15
 
3.3%
3 14
 
3.1%
8 11
 
2.4%
6 10
 
2.2%
7 7
 
1.5%
9 4
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
o 617
10.0%
b 617
10.0%
i 617
10.0%
e 617
10.0%
v 617
10.0%
t 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
87.4%
Common 1070
 
12.6%

Most frequent character per script

Common
ValueCountFrequency (%)
617
57.7%
0 312
29.2%
2 31
 
2.9%
1 31
 
2.9%
4 18
 
1.7%
5 15
 
1.4%
3 14
 
1.3%
8 11
 
1.0%
6 10
 
0.9%
7 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
o 617
8.3%
b 617
8.3%
i 617
8.3%
e 617
8.3%
v 617
8.3%
A 617
8.3%
t 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8474
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
14.6%
l 1234
14.6%
N 617
7.3%
o 617
7.3%
b 617
7.3%
i 617
7.3%
e 617
7.3%
v 617
7.3%
A 617
7.3%
617
7.3%
Other values (11) 1070
12.6%
Distinct36
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-09T20:41:38.209206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.236
Min length1

Characters and Unicode

Total characters8236
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st row36
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 597
37.4%
available 597
37.4%
0 181
 
11.3%
4 32
 
2.0%
6 24
 
1.5%
8 23
 
1.4%
5 21
 
1.3%
1 17
 
1.1%
3 14
 
0.9%
10 13
 
0.8%
Other values (27) 78
 
4.9%
2023-12-09T20:41:38.554447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1194
14.5%
l 1194
14.5%
N 597
7.2%
o 597
7.2%
b 597
7.2%
i 597
7.2%
e 597
7.2%
v 597
7.2%
A 597
7.2%
597
7.2%
Other values (11) 1072
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5970
72.5%
Uppercase Letter 1194
 
14.5%
Space Separator 597
 
7.2%
Decimal Number 475
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 202
42.5%
1 60
 
12.6%
4 42
 
8.8%
6 35
 
7.4%
2 33
 
6.9%
8 31
 
6.5%
5 25
 
5.3%
3 25
 
5.3%
9 12
 
2.5%
7 10
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1194
20.0%
l 1194
20.0%
o 597
10.0%
b 597
10.0%
i 597
10.0%
e 597
10.0%
v 597
10.0%
t 597
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 597
50.0%
A 597
50.0%
Space Separator
ValueCountFrequency (%)
597
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7164
87.0%
Common 1072
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
597
55.7%
0 202
 
18.8%
1 60
 
5.6%
4 42
 
3.9%
6 35
 
3.3%
2 33
 
3.1%
8 31
 
2.9%
5 25
 
2.3%
3 25
 
2.3%
9 12
 
1.1%
Latin
ValueCountFrequency (%)
a 1194
16.7%
l 1194
16.7%
N 597
8.3%
o 597
8.3%
b 597
8.3%
i 597
8.3%
e 597
8.3%
v 597
8.3%
A 597
8.3%
t 597
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1194
14.5%
l 1194
14.5%
N 597
7.2%
o 597
7.2%
b 597
7.2%
i 597
7.2%
e 597
7.2%
v 597
7.2%
A 597
7.2%
597
7.2%
Other values (11) 1072
13.0%
Distinct312
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size62.5 KiB
2023-12-09T20:41:39.049386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length6.922
Min length1

Characters and Unicode

Total characters6922
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)19.0%

Sample

1st row582
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 401
28.6%
available 401
28.6%
60 13
 
0.9%
59 11
 
0.8%
96 10
 
0.7%
48 10
 
0.7%
84 9
 
0.6%
100 8
 
0.6%
65 8
 
0.6%
75 7
 
0.5%
Other values (303) 523
37.3%
2023-12-09T20:41:39.676094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 802
 
11.6%
l 802
 
11.6%
N 401
 
5.8%
t 401
 
5.8%
401
 
5.8%
A 401
 
5.8%
v 401
 
5.8%
i 401
 
5.8%
b 401
 
5.8%
e 401
 
5.8%
Other values (12) 2110
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4010
57.9%
Decimal Number 1642
23.7%
Uppercase Letter 802
 
11.6%
Space Separator 401
 
5.8%
Other Punctuation 67
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 279
17.0%
6 188
11.4%
2 186
11.3%
5 162
9.9%
0 156
9.5%
4 152
9.3%
8 152
9.3%
7 142
8.6%
9 120
7.3%
3 105
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 802
20.0%
l 802
20.0%
t 401
10.0%
v 401
10.0%
i 401
10.0%
b 401
10.0%
e 401
10.0%
o 401
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 401
50.0%
A 401
50.0%
Space Separator
ValueCountFrequency (%)
401
100.0%
Other Punctuation
ValueCountFrequency (%)
. 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4812
69.5%
Common 2110
30.5%

Most frequent character per script

Common
ValueCountFrequency (%)
401
19.0%
1 279
13.2%
6 188
8.9%
2 186
8.8%
5 162
7.7%
0 156
 
7.4%
4 152
 
7.2%
8 152
 
7.2%
7 142
 
6.7%
9 120
 
5.7%
Other values (2) 172
8.2%
Latin
ValueCountFrequency (%)
a 802
16.7%
l 802
16.7%
N 401
8.3%
t 401
8.3%
A 401
8.3%
v 401
8.3%
i 401
8.3%
b 401
8.3%
e 401
8.3%
o 401
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 802
 
11.6%
l 802
 
11.6%
N 401
 
5.8%
t 401
 
5.8%
401
 
5.8%
A 401
 
5.8%
v 401
 
5.8%
i 401
 
5.8%
b 401
 
5.8%
e 401
 
5.8%
Other values (12) 2110
30.5%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:41:39.879530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length7.972
Min length1

Characters and Unicode

Total characters7972
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 546
35.3%
available 546
35.3%
0 158
 
10.2%
100 122
 
7.9%
90 81
 
5.2%
10 35
 
2.3%
80 28
 
1.8%
70 10
 
0.6%
40 7
 
0.5%
20 5
 
0.3%
Other values (4) 8
 
0.5%
2023-12-09T20:41:40.191947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1092
13.7%
a 1092
13.7%
0 575
7.2%
i 546
 
6.8%
o 546
 
6.8%
e 546
 
6.8%
b 546
 
6.8%
N 546
 
6.8%
v 546
 
6.8%
A 546
 
6.8%
Other values (12) 1391
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5460
68.5%
Uppercase Letter 1092
 
13.7%
Decimal Number 873
 
11.0%
Space Separator 546
 
6.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 575
65.9%
1 157
 
18.0%
9 81
 
9.3%
8 28
 
3.2%
7 13
 
1.5%
4 7
 
0.8%
2 5
 
0.6%
6 4
 
0.5%
3 2
 
0.2%
5 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 1092
20.0%
a 1092
20.0%
i 546
10.0%
o 546
10.0%
e 546
10.0%
b 546
10.0%
v 546
10.0%
t 546
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 546
50.0%
A 546
50.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6552
82.2%
Common 1420
 
17.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 575
40.5%
546
38.5%
1 157
 
11.1%
9 81
 
5.7%
8 28
 
2.0%
7 13
 
0.9%
4 7
 
0.5%
2 5
 
0.4%
6 4
 
0.3%
3 2
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
l 1092
16.7%
a 1092
16.7%
i 546
8.3%
o 546
8.3%
e 546
8.3%
b 546
8.3%
N 546
8.3%
v 546
8.3%
A 546
8.3%
t 546
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1092
13.7%
a 1092
13.7%
0 575
7.2%
i 546
 
6.8%
o 546
 
6.8%
e 546
 
6.8%
b 546
 
6.8%
N 546
 
6.8%
v 546
 
6.8%
A 546
 
6.8%
Other values (12) 1391
17.4%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size63.2 KiB
2023-12-09T20:41:40.372652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length7.591
Min length1

Characters and Unicode

Total characters7591
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row100
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 480
32.4%
available 480
32.4%
100 323
21.8%
90 137
 
9.3%
10 33
 
2.2%
0 12
 
0.8%
80 11
 
0.7%
70 3
 
0.2%
20 1
 
0.1%
2023-12-09T20:41:40.670815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 960
12.6%
a 960
12.6%
0 843
11.1%
i 480
 
6.3%
e 480
 
6.3%
b 480
 
6.3%
o 480
 
6.3%
N 480
 
6.3%
v 480
 
6.3%
A 480
 
6.3%
Other values (7) 1468
19.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4800
63.2%
Decimal Number 1351
 
17.8%
Uppercase Letter 960
 
12.6%
Space Separator 480
 
6.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 960
20.0%
a 960
20.0%
i 480
10.0%
e 480
10.0%
b 480
10.0%
o 480
10.0%
v 480
10.0%
t 480
10.0%
Decimal Number
ValueCountFrequency (%)
0 843
62.4%
1 356
26.4%
9 137
 
10.1%
8 11
 
0.8%
7 3
 
0.2%
2 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 480
50.0%
A 480
50.0%
Space Separator
ValueCountFrequency (%)
480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5760
75.9%
Common 1831
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 960
16.7%
a 960
16.7%
i 480
8.3%
e 480
8.3%
b 480
8.3%
o 480
8.3%
N 480
8.3%
v 480
8.3%
A 480
8.3%
t 480
8.3%
Common
ValueCountFrequency (%)
0 843
46.0%
480
26.2%
1 356
19.4%
9 137
 
7.5%
8 11
 
0.6%
7 3
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 960
12.6%
a 960
12.6%
0 843
11.1%
i 480
 
6.3%
e 480
 
6.3%
b 480
 
6.3%
o 480
 
6.3%
N 480
 
6.3%
v 480
 
6.3%
A 480
 
6.3%
Other values (7) 1468
19.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size74.6 KiB
2023-12-09T20:41:40.873526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length19.228
Min length13

Characters and Unicode

Total characters19228
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo specific resident population
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 655
24.5%
available 655
24.5%
no 332
12.4%
specific 332
12.4%
resident 332
12.4%
population 332
12.4%
dedicated 13
 
0.5%
senior/independent 9
 
0.3%
living 9
 
0.3%
other 3
 
0.1%
Other values (4) 6
 
0.2%
2023-12-09T20:41:41.194799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2030
10.6%
e 1720
 
8.9%
1678
 
8.7%
o 1663
 
8.6%
a 1656
 
8.6%
l 1644
 
8.6%
t 1345
 
7.0%
p 1006
 
5.2%
N 988
 
5.1%
n 712
 
3.7%
Other values (18) 4786
24.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15856
82.5%
Uppercase Letter 1685
 
8.8%
Space Separator 1678
 
8.7%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2030
12.8%
e 1720
10.8%
o 1663
10.5%
a 1656
10.4%
l 1644
10.4%
t 1345
8.5%
p 1006
 
6.3%
n 712
 
4.5%
c 680
 
4.3%
s 670
 
4.2%
Other values (9) 2730
17.2%
Uppercase Letter
ValueCountFrequency (%)
N 988
58.6%
A 656
38.9%
D 10
 
0.6%
S 10
 
0.6%
I 9
 
0.5%
L 9
 
0.5%
O 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1678
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17541
91.2%
Common 1687
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2030
11.6%
e 1720
9.8%
o 1663
9.5%
a 1656
9.4%
l 1644
9.4%
t 1345
 
7.7%
p 1006
 
5.7%
N 988
 
5.6%
n 712
 
4.1%
c 680
 
3.9%
Other values (16) 4097
23.4%
Common
ValueCountFrequency (%)
1678
99.5%
/ 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2030
10.6%
e 1720
 
8.9%
1678
 
8.7%
o 1663
 
8.6%
a 1656
 
8.6%
l 1644
 
8.6%
t 1345
 
7.0%
p 1006
 
5.2%
N 988
 
5.1%
n 712
 
3.7%
Other values (18) 4786
24.9%
Distinct440
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T20:41:41.708395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.762
Min length1

Characters and Unicode

Total characters8762
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)40.6%

Sample

1st row3.05831
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 401
28.6%
available 401
28.6%
1.4 109
 
7.8%
0 15
 
1.1%
1.40002 5
 
0.4%
2 4
 
0.3%
1 3
 
0.2%
1.74703 3
 
0.2%
1.62975 2
 
0.1%
2.15177 2
 
0.1%
Other values (431) 456
32.5%
2023-12-09T20:41:42.361821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 802
 
9.2%
a 802
 
9.2%
1 643
 
7.3%
. 577
 
6.6%
o 401
 
4.6%
e 401
 
4.6%
b 401
 
4.6%
N 401
 
4.6%
i 401
 
4.6%
v 401
 
4.6%
Other values (12) 3532
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4010
45.8%
Decimal Number 2972
33.9%
Uppercase Letter 802
 
9.2%
Other Punctuation 577
 
6.6%
Space Separator 401
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 643
21.6%
4 357
12.0%
0 335
11.3%
2 314
10.6%
3 242
 
8.1%
7 228
 
7.7%
8 223
 
7.5%
9 220
 
7.4%
5 211
 
7.1%
6 199
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 802
20.0%
a 802
20.0%
o 401
10.0%
e 401
10.0%
b 401
10.0%
i 401
10.0%
v 401
10.0%
t 401
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 401
50.0%
A 401
50.0%
Other Punctuation
ValueCountFrequency (%)
. 577
100.0%
Space Separator
ValueCountFrequency (%)
401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4812
54.9%
Common 3950
45.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 643
16.3%
. 577
14.6%
401
10.2%
4 357
9.0%
0 335
8.5%
2 314
7.9%
3 242
 
6.1%
7 228
 
5.8%
8 223
 
5.6%
9 220
 
5.6%
Other values (2) 410
10.4%
Latin
ValueCountFrequency (%)
l 802
16.7%
a 802
16.7%
o 401
8.3%
e 401
8.3%
b 401
8.3%
N 401
8.3%
i 401
8.3%
v 401
8.3%
A 401
8.3%
t 401
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 802
 
9.2%
a 802
 
9.2%
1 643
 
7.3%
. 577
 
6.6%
o 401
 
4.6%
e 401
 
4.6%
b 401
 
4.6%
N 401
 
4.6%
i 401
 
4.6%
v 401
 
4.6%
Other values (12) 3532
40.3%
Distinct481
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:41:42.863160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.952
Min length1

Characters and Unicode

Total characters8952
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)44.5%

Sample

1st row2.33895
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 402
28.7%
available 402
28.7%
1.2 78
 
5.6%
1 6
 
0.4%
1.22292 4
 
0.3%
1.20004 3
 
0.2%
1.26289 2
 
0.1%
1.10356 2
 
0.1%
1.20617 2
 
0.1%
0.98285 2
 
0.1%
Other values (472) 499
35.6%
2023-12-09T20:41:43.494847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 804
 
9.0%
a 804
 
9.0%
. 590
 
6.6%
1 579
 
6.5%
0 508
 
5.7%
o 402
 
4.5%
e 402
 
4.5%
b 402
 
4.5%
N 402
 
4.5%
i 402
 
4.5%
Other values (12) 3657
40.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4020
44.9%
Decimal Number 3136
35.0%
Uppercase Letter 804
 
9.0%
Other Punctuation 590
 
6.6%
Space Separator 402
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 579
18.5%
0 508
16.2%
2 368
11.7%
8 286
9.1%
9 267
8.5%
3 245
7.8%
4 231
 
7.4%
7 229
 
7.3%
5 214
 
6.8%
6 209
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 804
20.0%
a 804
20.0%
o 402
10.0%
e 402
10.0%
b 402
10.0%
i 402
10.0%
v 402
10.0%
t 402
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 402
50.0%
A 402
50.0%
Other Punctuation
ValueCountFrequency (%)
. 590
100.0%
Space Separator
ValueCountFrequency (%)
402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4824
53.9%
Common 4128
46.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 590
14.3%
1 579
14.0%
0 508
12.3%
402
9.7%
2 368
8.9%
8 286
6.9%
9 267
6.5%
3 245
5.9%
4 231
 
5.6%
7 229
 
5.5%
Other values (2) 423
10.2%
Latin
ValueCountFrequency (%)
l 804
16.7%
a 804
16.7%
o 402
8.3%
e 402
8.3%
b 402
8.3%
N 402
8.3%
i 402
8.3%
v 402
8.3%
A 402
8.3%
t 402
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 804
 
9.0%
a 804
 
9.0%
. 590
 
6.6%
1 579
 
6.5%
0 508
 
5.7%
o 402
 
4.5%
e 402
 
4.5%
b 402
 
4.5%
N 402
 
4.5%
i 402
 
4.5%
Other values (12) 3657
40.9%
Distinct131
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T20:41:43.899990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length6.14
Min length1

Characters and Unicode

Total characters6140
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)9.6%

Sample

1st row0
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
0 427
30.5%
available 401
28.6%
not 401
28.6%
100 4
 
0.3%
84 3
 
0.2%
116 3
 
0.2%
92 3
 
0.2%
184 3
 
0.2%
96 3
 
0.2%
80 3
 
0.2%
Other values (122) 150
 
10.7%
2023-12-09T20:41:44.430669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 802
13.1%
l 802
13.1%
0 484
 
7.9%
N 401
 
6.5%
b 401
 
6.5%
i 401
 
6.5%
e 401
 
6.5%
v 401
 
6.5%
A 401
 
6.5%
401
 
6.5%
Other values (12) 1245
20.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4010
65.3%
Decimal Number 926
 
15.1%
Uppercase Letter 802
 
13.1%
Space Separator 401
 
6.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 484
52.3%
1 105
 
11.3%
2 63
 
6.8%
8 52
 
5.6%
4 40
 
4.3%
3 39
 
4.2%
7 39
 
4.2%
5 38
 
4.1%
6 35
 
3.8%
9 31
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 802
20.0%
l 802
20.0%
b 401
10.0%
i 401
10.0%
e 401
10.0%
v 401
10.0%
t 401
10.0%
o 401
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 401
50.0%
A 401
50.0%
Space Separator
ValueCountFrequency (%)
401
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4812
78.4%
Common 1328
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 484
36.4%
401
30.2%
1 105
 
7.9%
2 63
 
4.7%
8 52
 
3.9%
4 40
 
3.0%
3 39
 
2.9%
7 39
 
2.9%
5 38
 
2.9%
6 35
 
2.6%
Other values (2) 32
 
2.4%
Latin
ValueCountFrequency (%)
a 802
16.7%
l 802
16.7%
N 401
8.3%
b 401
8.3%
i 401
8.3%
e 401
8.3%
v 401
8.3%
A 401
8.3%
t 401
8.3%
o 401
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 802
13.1%
l 802
13.1%
0 484
 
7.9%
N 401
 
6.5%
b 401
 
6.5%
i 401
 
6.5%
e 401
 
6.5%
v 401
 
6.5%
A 401
 
6.5%
401
 
6.5%
Other values (12) 1245
20.3%
Distinct158
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size62.5 KiB
2023-12-09T20:41:44.806671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length6.834
Min length1

Characters and Unicode

Total characters6834
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)14.0%

Sample

1st row0
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
0 426
30.4%
available 402
28.7%
not 402
28.7%
0.60559 2
 
0.1%
1.2118 2
 
0.1%
1.05446 2
 
0.1%
1.06882 2
 
0.1%
0.98868 2
 
0.1%
1.027 2
 
0.1%
1.03584 2
 
0.1%
Other values (149) 158
 
11.3%
2023-12-09T20:41:45.305485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 804
11.8%
l 804
11.8%
0 616
 
9.0%
N 402
 
5.9%
b 402
 
5.9%
i 402
 
5.9%
e 402
 
5.9%
v 402
 
5.9%
A 402
 
5.9%
402
 
5.9%
Other values (12) 1796
26.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4020
58.8%
Decimal Number 1436
 
21.0%
Uppercase Letter 804
 
11.8%
Space Separator 402
 
5.9%
Other Punctuation 172
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 616
42.9%
1 144
 
10.0%
8 112
 
7.8%
5 97
 
6.8%
3 88
 
6.1%
4 83
 
5.8%
2 81
 
5.6%
9 79
 
5.5%
7 71
 
4.9%
6 65
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 804
20.0%
l 804
20.0%
b 402
10.0%
i 402
10.0%
e 402
10.0%
v 402
10.0%
t 402
10.0%
o 402
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 402
50.0%
A 402
50.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Other Punctuation
ValueCountFrequency (%)
. 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4824
70.6%
Common 2010
29.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 616
30.6%
402
20.0%
. 172
 
8.6%
1 144
 
7.2%
8 112
 
5.6%
5 97
 
4.8%
3 88
 
4.4%
4 83
 
4.1%
2 81
 
4.0%
9 79
 
3.9%
Other values (2) 136
 
6.8%
Latin
ValueCountFrequency (%)
a 804
16.7%
l 804
16.7%
N 402
8.3%
b 402
8.3%
i 402
8.3%
e 402
8.3%
v 402
8.3%
A 402
8.3%
t 402
8.3%
o 402
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 804
11.8%
l 804
11.8%
0 616
 
9.0%
N 402
 
5.9%
b 402
 
5.9%
i 402
 
5.9%
e 402
 
5.9%
v 402
 
5.9%
A 402
 
5.9%
402
 
5.9%
Other values (12) 1796
26.3%
Distinct155
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size61.9 KiB
2023-12-09T20:41:45.730333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length6.256
Min length1

Characters and Unicode

Total characters6256
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)7.5%

Sample

1st row582
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 402
28.7%
available 402
28.7%
0 279
19.9%
20 9
 
0.6%
65 8
 
0.6%
68 6
 
0.4%
27 6
 
0.4%
100 6
 
0.4%
59 6
 
0.4%
11 6
 
0.4%
Other values (146) 272
19.4%
2023-12-09T20:41:46.275451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 804
12.9%
l 804
12.9%
N 402
 
6.4%
o 402
 
6.4%
t 402
 
6.4%
402
 
6.4%
A 402
 
6.4%
v 402
 
6.4%
i 402
 
6.4%
b 402
 
6.4%
Other values (12) 1432
22.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4020
64.3%
Decimal Number 1028
 
16.4%
Uppercase Letter 804
 
12.9%
Space Separator 402
 
6.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 344
33.5%
1 145
14.1%
2 95
 
9.2%
5 81
 
7.9%
6 79
 
7.7%
4 67
 
6.5%
7 60
 
5.8%
8 59
 
5.7%
3 56
 
5.4%
9 42
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 804
20.0%
l 804
20.0%
o 402
10.0%
t 402
10.0%
v 402
10.0%
i 402
10.0%
b 402
10.0%
e 402
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 402
50.0%
A 402
50.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4824
77.1%
Common 1432
 
22.9%

Most frequent character per script

Common
ValueCountFrequency (%)
402
28.1%
0 344
24.0%
1 145
 
10.1%
2 95
 
6.6%
5 81
 
5.7%
6 79
 
5.5%
4 67
 
4.7%
7 60
 
4.2%
8 59
 
4.1%
3 56
 
3.9%
Other values (2) 44
 
3.1%
Latin
ValueCountFrequency (%)
a 804
16.7%
l 804
16.7%
N 402
8.3%
o 402
8.3%
t 402
8.3%
A 402
8.3%
v 402
8.3%
i 402
8.3%
b 402
8.3%
e 402
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 804
12.9%
l 804
12.9%
N 402
 
6.4%
o 402
 
6.4%
t 402
 
6.4%
402
 
6.4%
A 402
 
6.4%
v 402
 
6.4%
i 402
 
6.4%
b 402
 
6.4%
Other values (12) 1432
22.9%
Distinct301
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T20:41:46.696118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.662
Min length1

Characters and Unicode

Total characters7662
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)28.2%

Sample

1st row2.33895
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 403
28.7%
available 403
28.7%
0 278
19.8%
1.22292 4
 
0.3%
1 3
 
0.2%
1.24092 2
 
0.1%
1.18667 2
 
0.1%
1.1 2
 
0.1%
0.68828 2
 
0.1%
0.80216 2
 
0.1%
Other values (292) 302
21.5%
2023-12-09T20:41:47.240968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 806
 
10.5%
a 806
 
10.5%
0 624
 
8.1%
i 403
 
5.3%
o 403
 
5.3%
e 403
 
5.3%
b 403
 
5.3%
N 403
 
5.3%
v 403
 
5.3%
A 403
 
5.3%
Other values (12) 2605
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4030
52.6%
Decimal Number 2107
27.5%
Uppercase Letter 806
 
10.5%
Space Separator 403
 
5.3%
Other Punctuation 316
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 624
29.6%
1 228
 
10.8%
2 216
 
10.3%
8 167
 
7.9%
7 155
 
7.4%
3 154
 
7.3%
4 150
 
7.1%
9 147
 
7.0%
6 135
 
6.4%
5 131
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 806
20.0%
a 806
20.0%
i 403
10.0%
o 403
10.0%
e 403
10.0%
b 403
10.0%
v 403
10.0%
t 403
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 403
50.0%
A 403
50.0%
Space Separator
ValueCountFrequency (%)
403
100.0%
Other Punctuation
ValueCountFrequency (%)
. 316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4836
63.1%
Common 2826
36.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 624
22.1%
403
14.3%
. 316
11.2%
1 228
 
8.1%
2 216
 
7.6%
8 167
 
5.9%
7 155
 
5.5%
3 154
 
5.4%
4 150
 
5.3%
9 147
 
5.2%
Other values (2) 266
9.4%
Latin
ValueCountFrequency (%)
l 806
16.7%
a 806
16.7%
i 403
8.3%
o 403
8.3%
e 403
8.3%
b 403
8.3%
N 403
8.3%
v 403
8.3%
A 403
8.3%
t 403
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7662
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 806
 
10.5%
a 806
 
10.5%
0 624
 
8.1%
i 403
 
5.3%
o 403
 
5.3%
e 403
 
5.3%
b 403
 
5.3%
N 403
 
5.3%
v 403
 
5.3%
A 403
 
5.3%
Other values (12) 2605
34.0%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:47.455360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.775
Min length1

Characters and Unicode

Total characters12775
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
0 9
 
0.5%
3 2
 
0.1%
2.2 1
 
0.1%
0.54143 1
 
0.1%
1.24844 1
 
0.1%
0.33602 1
 
0.1%
0.45455 1
 
0.1%
0.65488 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T20:41:47.780334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.6%
o 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
Other values (12) 1075
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
76.3%
Uppercase Letter 1950
 
15.3%
Space Separator 975
 
7.6%
Decimal Number 86
 
0.7%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
31.4%
4 12
14.0%
3 8
 
9.3%
1 8
 
9.3%
2 8
 
9.3%
6 8
 
9.3%
5 7
 
8.1%
8 4
 
4.7%
9 2
 
2.3%
7 2
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
o 975
10.0%
t 975
10.0%
v 975
10.0%
i 975
10.0%
b 975
10.0%
e 975
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
91.6%
Common 1075
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
975
90.7%
0 27
 
2.5%
. 14
 
1.3%
4 12
 
1.1%
3 8
 
0.7%
1 8
 
0.7%
2 8
 
0.7%
6 8
 
0.7%
5 7
 
0.7%
8 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
o 975
8.3%
t 975
8.3%
A 975
8.3%
v 975
8.3%
i 975
8.3%
b 975
8.3%
e 975
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.6%
o 975
7.6%
t 975
7.6%
975
7.6%
A 975
7.6%
v 975
7.6%
i 975
7.6%
b 975
7.6%
Other values (12) 1075
8.4%
Distinct165
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:41:48.197153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.712
Min length3

Characters and Unicode

Total characters11712
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)15.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
95069 2
 
0.1%
130000 2
 
0.1%
180000 2
 
0.1%
110000 2
 
0.1%
560000 2
 
0.1%
67132 1
 
0.1%
67500 1
 
0.1%
639222 1
 
0.1%
Other values (156) 156
 
8.5%
2023-12-09T20:41:48.752468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.2%
l 1662
14.2%
N 831
7.1%
o 831
7.1%
b 831
7.1%
i 831
7.1%
e 831
7.1%
v 831
7.1%
A 831
7.1%
831
7.1%
Other values (11) 1740
14.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
71.0%
Uppercase Letter 1662
 
14.2%
Decimal Number 909
 
7.8%
Space Separator 831
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
24.0%
1 106
11.7%
6 92
10.1%
5 83
 
9.1%
2 81
 
8.9%
7 75
 
8.3%
3 71
 
7.8%
9 65
 
7.2%
8 60
 
6.6%
4 58
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
o 831
10.0%
b 831
10.0%
i 831
10.0%
e 831
10.0%
v 831
10.0%
t 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
85.1%
Common 1740
 
14.9%

Most frequent character per script

Common
ValueCountFrequency (%)
831
47.8%
0 218
 
12.5%
1 106
 
6.1%
6 92
 
5.3%
5 83
 
4.8%
2 81
 
4.7%
7 75
 
4.3%
3 71
 
4.1%
9 65
 
3.7%
8 60
 
3.4%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
o 831
8.3%
b 831
8.3%
i 831
8.3%
e 831
8.3%
v 831
8.3%
A 831
8.3%
t 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.2%
l 1662
14.2%
N 831
7.1%
o 831
7.1%
b 831
7.1%
i 831
7.1%
e 831
7.1%
v 831
7.1%
A 831
7.1%
831
7.1%
Other values (11) 1740
14.9%
Distinct125
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size66.9 KiB
2023-12-09T20:41:49.162268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.382
Min length1

Characters and Unicode

Total characters11382
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)10.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
100 8
 
0.4%
200 6
 
0.3%
300 5
 
0.3%
20 5
 
0.3%
0 4
 
0.2%
180 4
 
0.2%
60 3
 
0.2%
3000 3
 
0.2%
Other values (116) 131
 
7.2%
2023-12-09T20:41:49.680980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.6%
l 1662
14.6%
N 831
7.3%
t 831
7.3%
831
7.3%
A 831
7.3%
v 831
7.3%
i 831
7.3%
b 831
7.3%
e 831
7.3%
Other values (12) 1410
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
73.0%
Uppercase Letter 1662
 
14.6%
Space Separator 831
 
7.3%
Decimal Number 544
 
4.8%
Other Punctuation 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
26.1%
1 80
14.7%
2 69
12.7%
5 53
 
9.7%
3 48
 
8.8%
4 45
 
8.3%
6 39
 
7.2%
8 29
 
5.3%
9 20
 
3.7%
7 19
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
t 831
10.0%
v 831
10.0%
i 831
10.0%
b 831
10.0%
e 831
10.0%
o 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
87.6%
Common 1410
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
831
58.9%
0 142
 
10.1%
1 80
 
5.7%
2 69
 
4.9%
5 53
 
3.8%
3 48
 
3.4%
4 45
 
3.2%
6 39
 
2.8%
. 35
 
2.5%
8 29
 
2.1%
Other values (2) 39
 
2.8%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
t 831
8.3%
A 831
8.3%
v 831
8.3%
i 831
8.3%
b 831
8.3%
e 831
8.3%
o 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.6%
l 1662
14.6%
N 831
7.3%
t 831
7.3%
831
7.3%
A 831
7.3%
v 831
7.3%
i 831
7.3%
b 831
7.3%
e 831
7.3%
Other values (12) 1410
12.4%
Distinct126
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size66.9 KiB
2023-12-09T20:41:50.090420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.386
Min length1

Characters and Unicode

Total characters11386
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)10.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
300 7
 
0.4%
200 6
 
0.3%
5 4
 
0.2%
0 4
 
0.2%
20 4
 
0.2%
75 3
 
0.2%
1500 3
 
0.2%
400 3
 
0.2%
Other values (117) 135
 
7.4%
2023-12-09T20:41:50.614207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.6%
l 1662
14.6%
N 831
7.3%
t 831
7.3%
831
7.3%
A 831
7.3%
v 831
7.3%
i 831
7.3%
b 831
7.3%
e 831
7.3%
Other values (12) 1414
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
73.0%
Uppercase Letter 1662
 
14.6%
Space Separator 831
 
7.3%
Decimal Number 546
 
4.8%
Other Punctuation 37
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
20.5%
1 84
15.4%
5 67
12.3%
2 59
10.8%
4 53
9.7%
3 52
9.5%
8 36
 
6.6%
7 35
 
6.4%
6 28
 
5.1%
9 20
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
t 831
10.0%
v 831
10.0%
i 831
10.0%
b 831
10.0%
e 831
10.0%
o 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
87.6%
Common 1414
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
831
58.8%
0 112
 
7.9%
1 84
 
5.9%
5 67
 
4.7%
2 59
 
4.2%
4 53
 
3.7%
3 52
 
3.7%
. 37
 
2.6%
8 36
 
2.5%
7 35
 
2.5%
Other values (2) 48
 
3.4%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
t 831
8.3%
A 831
8.3%
v 831
8.3%
i 831
8.3%
b 831
8.3%
e 831
8.3%
o 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.6%
l 1662
14.6%
N 831
7.3%
t 831
7.3%
831
7.3%
A 831
7.3%
v 831
7.3%
i 831
7.3%
b 831
7.3%
e 831
7.3%
Other values (12) 1414
12.4%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:41:50.807410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.298
Min length1

Characters and Unicode

Total characters11298
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
100 155
 
8.5%
0 7
 
0.4%
25 4
 
0.2%
72.61 1
 
0.1%
89.24 1
 
0.1%
90.91 1
 
0.1%
2023-12-09T20:41:51.104188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.7%
l 1662
14.7%
N 831
7.4%
o 831
7.4%
b 831
7.4%
i 831
7.4%
e 831
7.4%
v 831
7.4%
A 831
7.4%
831
7.4%
Other values (11) 1326
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
73.6%
Uppercase Letter 1662
 
14.7%
Space Separator 831
 
7.4%
Decimal Number 492
 
4.4%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 318
64.6%
1 157
31.9%
2 6
 
1.2%
5 4
 
0.8%
9 3
 
0.6%
7 1
 
0.2%
6 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
o 831
10.0%
b 831
10.0%
i 831
10.0%
e 831
10.0%
v 831
10.0%
t 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
88.3%
Common 1326
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
831
62.7%
0 318
 
24.0%
1 157
 
11.8%
2 6
 
0.5%
5 4
 
0.3%
. 3
 
0.2%
9 3
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
o 831
8.3%
b 831
8.3%
i 831
8.3%
e 831
8.3%
v 831
8.3%
A 831
8.3%
t 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11298
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.7%
l 1662
14.7%
N 831
7.4%
o 831
7.4%
b 831
7.4%
i 831
7.4%
e 831
7.4%
v 831
7.4%
A 831
7.4%
831
7.4%
Other values (11) 1326
11.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:41:51.281297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.305
Min length1

Characters and Unicode

Total characters11305
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
100 161
 
8.8%
0 3
 
0.2%
33 3
 
0.2%
89.24 1
 
0.1%
90.91 1
 
0.1%
2023-12-09T20:41:51.575247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.7%
l 1662
14.7%
N 831
7.4%
e 831
7.4%
o 831
7.4%
i 831
7.4%
b 831
7.4%
v 831
7.4%
A 831
7.4%
831
7.4%
Other values (9) 1333
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
73.5%
Uppercase Letter 1662
 
14.7%
Space Separator 831
 
7.4%
Decimal Number 500
 
4.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
e 831
10.0%
o 831
10.0%
i 831
10.0%
b 831
10.0%
v 831
10.0%
t 831
10.0%
Decimal Number
ValueCountFrequency (%)
0 326
65.2%
1 162
32.4%
3 6
 
1.2%
9 3
 
0.6%
8 1
 
0.2%
2 1
 
0.2%
4 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
88.2%
Common 1333
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
e 831
8.3%
o 831
8.3%
i 831
8.3%
b 831
8.3%
v 831
8.3%
A 831
8.3%
t 831
8.3%
Common
ValueCountFrequency (%)
831
62.3%
0 326
 
24.5%
1 162
 
12.2%
3 6
 
0.5%
9 3
 
0.2%
. 2
 
0.2%
8 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.7%
l 1662
14.7%
N 831
7.4%
e 831
7.4%
o 831
7.4%
i 831
7.4%
b 831
7.4%
v 831
7.4%
A 831
7.4%
831
7.4%
Other values (9) 1333
11.8%
Distinct50
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T20:41:51.821734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.222
Min length1

Characters and Unicode

Total characters11222
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)3.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
65 60
 
3.3%
60 17
 
0.9%
50 17
 
0.9%
55 9
 
0.5%
168 8
 
0.4%
40 7
 
0.4%
0 4
 
0.2%
80 3
 
0.2%
Other values (41) 44
 
2.4%
2023-12-09T20:41:52.195002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.8%
l 1662
14.8%
N 831
7.4%
t 831
7.4%
831
7.4%
A 831
7.4%
v 831
7.4%
i 831
7.4%
b 831
7.4%
e 831
7.4%
Other values (12) 1250
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
74.1%
Uppercase Letter 1662
 
14.8%
Space Separator 831
 
7.4%
Decimal Number 394
 
3.5%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 118
29.9%
6 105
26.6%
0 55
14.0%
4 28
 
7.1%
8 22
 
5.6%
1 18
 
4.6%
7 16
 
4.1%
9 11
 
2.8%
2 11
 
2.8%
3 10
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
t 831
10.0%
v 831
10.0%
i 831
10.0%
b 831
10.0%
e 831
10.0%
o 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
88.9%
Common 1250
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
831
66.5%
5 118
 
9.4%
6 105
 
8.4%
0 55
 
4.4%
4 28
 
2.2%
. 25
 
2.0%
8 22
 
1.8%
1 18
 
1.4%
7 16
 
1.3%
9 11
 
0.9%
Other values (2) 21
 
1.7%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
t 831
8.3%
A 831
8.3%
v 831
8.3%
i 831
8.3%
b 831
8.3%
e 831
8.3%
o 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.8%
l 1662
14.8%
N 831
7.4%
t 831
7.4%
831
7.4%
A 831
7.4%
v 831
7.4%
i 831
7.4%
b 831
7.4%
e 831
7.4%
Other values (12) 1250
11.1%
Distinct140
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:41:52.628075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.839
Min length1

Characters and Unicode

Total characters11839
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)13.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
2.3 24
 
1.3%
0 4
 
0.2%
2.29996 2
 
0.1%
1.66667 2
 
0.1%
2.29999 2
 
0.1%
2.67857 2
 
0.1%
3.30105 1
 
0.1%
3.81568 1
 
0.1%
Other values (131) 131
 
7.2%
2023-12-09T20:41:53.193311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.0%
l 1662
14.0%
N 831
7.0%
t 831
7.0%
831
7.0%
A 831
7.0%
v 831
7.0%
i 831
7.0%
b 831
7.0%
e 831
7.0%
Other values (12) 1867
15.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
70.2%
Uppercase Letter 1662
 
14.0%
Decimal Number 873
 
7.4%
Space Separator 831
 
7.0%
Other Punctuation 163
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 146
16.7%
3 115
13.2%
1 96
11.0%
6 92
10.5%
4 80
9.2%
8 76
8.7%
7 72
8.2%
0 71
8.1%
9 63
7.2%
5 62
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
t 831
10.0%
v 831
10.0%
i 831
10.0%
b 831
10.0%
e 831
10.0%
o 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
84.2%
Common 1867
 
15.8%

Most frequent character per script

Common
ValueCountFrequency (%)
831
44.5%
. 163
 
8.7%
2 146
 
7.8%
3 115
 
6.2%
1 96
 
5.1%
6 92
 
4.9%
4 80
 
4.3%
8 76
 
4.1%
7 72
 
3.9%
0 71
 
3.8%
Other values (2) 125
 
6.7%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
t 831
8.3%
A 831
8.3%
v 831
8.3%
i 831
8.3%
b 831
8.3%
e 831
8.3%
o 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.0%
l 1662
14.0%
N 831
7.0%
t 831
7.0%
831
7.0%
A 831
7.0%
v 831
7.0%
i 831
7.0%
b 831
7.0%
e 831
7.0%
Other values (12) 1867
15.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:53.379080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
63437 1
 
0.1%
2023-12-09T20:41:53.678729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
6 1
20.0%
4 1
20.0%
7 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
3 2
 
0.2%
6 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct36
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:53.920672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.718
Min length4

Characters and Unicode

Total characters12718
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)3.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
120000 2
 
0.1%
104500 1
 
0.1%
74180 1
 
0.1%
81497.3 1
 
0.1%
66128 1
 
0.1%
53666 1
 
0.1%
85600 1
 
0.1%
86937 1
 
0.1%
Other values (27) 27
 
1.4%
2023-12-09T20:41:54.291754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1150
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
75.8%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 185
 
1.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
34.1%
6 17
 
9.2%
4 16
 
8.6%
1 16
 
8.6%
5 15
 
8.1%
7 15
 
8.1%
2 13
 
7.0%
3 12
 
6.5%
8 11
 
5.9%
9 7
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
o 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.0%
Common 1150
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
964
83.8%
0 63
 
5.5%
6 17
 
1.5%
4 16
 
1.4%
1 16
 
1.4%
5 15
 
1.3%
7 15
 
1.3%
2 13
 
1.1%
3 12
 
1.0%
8 11
 
1.0%
Other values (2) 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
o 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1150
9.0%
Distinct55
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:41:54.576861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.544
Min length1

Characters and Unicode

Total characters12544
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)5.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 944
48.6%
available 944
48.6%
10000 3
 
0.2%
121618 1
 
0.1%
2300 1
 
0.1%
157000 1
 
0.1%
0 1
 
0.1%
60000 1
 
0.1%
120000 1
 
0.1%
9955 1
 
0.1%
Other values (46) 46
 
2.4%
2023-12-09T20:41:54.984313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1888
15.1%
l 1888
15.1%
N 944
7.5%
o 944
7.5%
b 944
7.5%
i 944
7.5%
e 944
7.5%
v 944
7.5%
A 944
7.5%
944
7.5%
Other values (11) 1216
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9440
75.3%
Uppercase Letter 1888
 
15.1%
Space Separator 944
 
7.5%
Decimal Number 272
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
32.0%
2 31
 
11.4%
1 30
 
11.0%
5 25
 
9.2%
8 19
 
7.0%
9 18
 
6.6%
4 18
 
6.6%
6 16
 
5.9%
3 14
 
5.1%
7 14
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1888
20.0%
l 1888
20.0%
o 944
10.0%
b 944
10.0%
i 944
10.0%
e 944
10.0%
v 944
10.0%
t 944
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 944
50.0%
A 944
50.0%
Space Separator
ValueCountFrequency (%)
944
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11328
90.3%
Common 1216
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
944
77.6%
0 87
 
7.2%
2 31
 
2.5%
1 30
 
2.5%
5 25
 
2.1%
8 19
 
1.6%
9 18
 
1.5%
4 18
 
1.5%
6 16
 
1.3%
3 14
 
1.2%
Latin
ValueCountFrequency (%)
a 1888
16.7%
l 1888
16.7%
N 944
8.3%
o 944
8.3%
b 944
8.3%
i 944
8.3%
e 944
8.3%
v 944
8.3%
A 944
8.3%
t 944
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1888
15.1%
l 1888
15.1%
N 944
7.5%
o 944
7.5%
b 944
7.5%
i 944
7.5%
e 944
7.5%
v 944
7.5%
A 944
7.5%
944
7.5%
Other values (11) 1216
9.7%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:55.189611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.675
Min length1

Characters and Unicode

Total characters12675
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
0 8
 
0.4%
50 4
 
0.2%
55 2
 
0.1%
60 2
 
0.1%
168 2
 
0.1%
40 2
 
0.1%
70 2
 
0.1%
1 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:41:55.505255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
o 970
7.7%
t 970
7.7%
970
7.7%
A 970
7.7%
v 970
7.7%
i 970
7.7%
b 970
7.7%
Other values (12) 1035
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.5%
Uppercase Letter 1940
 
15.3%
Space Separator 970
 
7.7%
Decimal Number 62
 
0.5%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
33.9%
5 11
17.7%
1 9
14.5%
6 6
 
9.7%
7 5
 
8.1%
8 3
 
4.8%
4 2
 
3.2%
9 2
 
3.2%
2 2
 
3.2%
3 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
t 970
10.0%
v 970
10.0%
i 970
10.0%
b 970
10.0%
e 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.8%
Common 1035
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
970
93.7%
0 21
 
2.0%
5 11
 
1.1%
1 9
 
0.9%
6 6
 
0.6%
7 5
 
0.5%
8 3
 
0.3%
. 3
 
0.3%
4 2
 
0.2%
9 2
 
0.2%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
t 970
8.3%
A 970
8.3%
v 970
8.3%
i 970
8.3%
b 970
8.3%
e 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.3%
l 1940
15.3%
N 970
7.7%
o 970
7.7%
t 970
7.7%
970
7.7%
A 970
7.7%
v 970
7.7%
i 970
7.7%
b 970
7.7%
Other values (12) 1035
8.2%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:55.697526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.712
Min length1

Characters and Unicode

Total characters12712
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 975
49.4%
available 975
49.4%
0 9
 
0.5%
2 2
 
0.1%
10 2
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
11 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:41:56.006649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.7%
e 975
7.7%
o 975
7.7%
i 975
7.7%
b 975
7.7%
v 975
7.7%
A 975
7.7%
975
7.7%
Other values (9) 1012
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9750
76.7%
Uppercase Letter 1950
 
15.3%
Space Separator 975
 
7.7%
Decimal Number 37
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1950
20.0%
l 1950
20.0%
e 975
10.0%
o 975
10.0%
i 975
10.0%
b 975
10.0%
v 975
10.0%
t 975
10.0%
Decimal Number
ValueCountFrequency (%)
0 14
37.8%
1 9
24.3%
2 6
16.2%
6 2
 
5.4%
8 2
 
5.4%
5 2
 
5.4%
3 1
 
2.7%
7 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
N 975
50.0%
A 975
50.0%
Space Separator
ValueCountFrequency (%)
975
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11700
92.0%
Common 1012
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1950
16.7%
l 1950
16.7%
N 975
8.3%
e 975
8.3%
o 975
8.3%
i 975
8.3%
b 975
8.3%
v 975
8.3%
A 975
8.3%
t 975
8.3%
Common
ValueCountFrequency (%)
975
96.3%
0 14
 
1.4%
1 9
 
0.9%
2 6
 
0.6%
6 2
 
0.2%
8 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1950
15.3%
l 1950
15.3%
N 975
7.7%
e 975
7.7%
o 975
7.7%
i 975
7.7%
b 975
7.7%
v 975
7.7%
A 975
7.7%
975
7.7%
Other values (9) 1012
8.0%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:41:56.204437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.702
Min length1

Characters and Unicode

Total characters12702
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 8
 
0.4%
11 2
 
0.1%
1 2
 
0.1%
6 1
 
0.1%
87 1
 
0.1%
20 1
 
0.1%
18 1
 
0.1%
4 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:41:56.522122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.7%
e 974
7.7%
o 974
7.7%
i 974
7.7%
b 974
7.7%
v 974
7.7%
A 974
7.7%
974
7.7%
Other values (9) 1014
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.7%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.7%
Decimal Number 40
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
e 974
10.0%
o 974
10.0%
i 974
10.0%
b 974
10.0%
v 974
10.0%
t 974
10.0%
Decimal Number
ValueCountFrequency (%)
0 15
37.5%
1 11
27.5%
2 4
 
10.0%
4 3
 
7.5%
3 2
 
5.0%
6 2
 
5.0%
8 2
 
5.0%
7 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
92.0%
Common 1014
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
e 974
8.3%
o 974
8.3%
i 974
8.3%
b 974
8.3%
v 974
8.3%
A 974
8.3%
t 974
8.3%
Common
ValueCountFrequency (%)
974
96.1%
0 15
 
1.5%
1 11
 
1.1%
2 4
 
0.4%
4 3
 
0.3%
3 2
 
0.2%
6 2
 
0.2%
8 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12702
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.7%
e 974
7.7%
o 974
7.7%
i 974
7.7%
b 974
7.7%
v 974
7.7%
A 974
7.7%
974
7.7%
Other values (9) 1014
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:56.694667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
51997 1
 
0.1%
2023-12-09T20:41:56.995250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
9 2
40.0%
5 1
20.0%
1 1
20.0%
7 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
9 2
 
0.2%
5 1
 
0.1%
1 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:57.167244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
70936 1
 
0.1%
7275 1
 
0.1%
2023-12-09T20:41:57.452676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
7 3
33.3%
0 1
 
11.1%
9 1
 
11.1%
3 1
 
11.1%
6 1
 
11.1%
2 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
7 3
 
0.3%
0 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1007
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:57.631145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.935
Min length1

Characters and Unicode

Total characters12935
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
50 2
 
0.1%
16 1
 
0.1%
0.25 1
 
0.1%
8 1
 
0.1%
29 1
 
0.1%
2023-12-09T20:41:57.928939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.8%
Uppercase Letter 1988
 
15.4%
Space Separator 994
 
7.7%
Decimal Number 12
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
e 994
10.0%
o 994
10.0%
i 994
10.0%
b 994
10.0%
v 994
10.0%
t 994
10.0%
Decimal Number
ValueCountFrequency (%)
5 3
25.0%
0 3
25.0%
2 2
16.7%
1 1
 
8.3%
6 1
 
8.3%
8 1
 
8.3%
9 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
e 994
8.3%
o 994
8.3%
i 994
8.3%
b 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
98.7%
5 3
 
0.3%
0 3
 
0.3%
2 2
 
0.2%
1 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1007
7.8%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:58.111363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.953
Min length4

Characters and Unicode

Total characters12953
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
120000 1
 
0.1%
84000 1
 
0.1%
69328 1
 
0.1%
21000 1
 
0.1%
120200 1
 
0.1%
9696 1
 
0.1%
2023-12-09T20:41:58.413293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.7%
Uppercase Letter 1988
 
15.3%
Space Separator 994
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
e 994
10.0%
o 994
10.0%
i 994
10.0%
b 994
10.0%
v 994
10.0%
t 994
10.0%
Decimal Number
ValueCountFrequency (%)
0 13
41.9%
2 5
 
16.1%
1 3
 
9.7%
6 3
 
9.7%
9 3
 
9.7%
8 2
 
6.5%
4 1
 
3.2%
3 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.1%
Common 1025
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
e 994
8.3%
o 994
8.3%
i 994
8.3%
b 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
97.0%
0 13
 
1.3%
2 5
 
0.5%
1 3
 
0.3%
6 3
 
0.3%
9 3
 
0.3%
8 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12953
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
e 994
7.7%
o 994
7.7%
i 994
7.7%
b 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (9) 1025
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:41:58.586832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:41:58.867964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:41:59.057338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.94
Min length5

Characters and Unicode

Total characters12940
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
50908 1
 
0.1%
144423 1
 
0.1%
106852 1
 
0.1%
57263 1
 
0.1%
140360 1
 
0.1%
87172 1
 
0.1%
132670 1
 
0.1%
53492 1
 
0.1%
2023-12-09T20:41:59.375851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1036
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 44
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
13.6%
2 6
13.6%
1 5
11.4%
4 5
11.4%
3 5
11.4%
5 4
9.1%
6 4
9.1%
7 4
9.1%
8 3
6.8%
9 2
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.0%
Common 1036
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
992
95.8%
0 6
 
0.6%
2 6
 
0.6%
1 5
 
0.5%
4 5
 
0.5%
3 5
 
0.5%
5 4
 
0.4%
6 4
 
0.4%
7 4
 
0.4%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1036
8.0%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:41:59.602544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.8
Min length3

Characters and Unicode

Total characters12800
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
6000 1
 
0.1%
7538 1
 
0.1%
17853 1
 
0.1%
2200 1
 
0.1%
9600 1
 
0.1%
4375 1
 
0.1%
8125 1
 
0.1%
4200 1
 
0.1%
Other values (15) 15
 
0.8%
2023-12-09T20:41:59.945529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
o 977
7.6%
b 977
7.6%
i 977
7.6%
e 977
7.6%
v 977
7.6%
A 977
7.6%
977
7.6%
Other values (11) 1076
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.3%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.6%
Decimal Number 99
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
28.3%
3 12
12.1%
5 10
 
10.1%
2 10
 
10.1%
1 9
 
9.1%
6 7
 
7.1%
8 7
 
7.1%
7 7
 
7.1%
4 6
 
6.1%
9 3
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
o 977
10.0%
b 977
10.0%
i 977
10.0%
e 977
10.0%
v 977
10.0%
t 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.6%
Common 1076
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
977
90.8%
0 28
 
2.6%
3 12
 
1.1%
5 10
 
0.9%
2 10
 
0.9%
1 9
 
0.8%
6 7
 
0.7%
8 7
 
0.7%
7 7
 
0.7%
4 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
o 977
8.3%
b 977
8.3%
i 977
8.3%
e 977
8.3%
v 977
8.3%
A 977
8.3%
t 977
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.6%
o 977
7.6%
b 977
7.6%
i 977
7.6%
e 977
7.6%
v 977
7.6%
A 977
7.6%
977
7.6%
Other values (11) 1076
8.4%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:00.143090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.922
Min length5

Characters and Unicode

Total characters12922
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
81645 1
 
0.1%
84596 1
 
0.1%
96890 1
 
0.1%
84912 1
 
0.1%
122000 1
 
0.1%
45899 1
 
0.1%
80000 1
 
0.1%
127000 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T20:42:00.463869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1042
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.6%
Uppercase Letter 1980
 
15.3%
Space Separator 990
 
7.7%
Decimal Number 52
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
21.2%
8 8
15.4%
4 7
13.5%
9 7
13.5%
1 5
9.6%
5 4
 
7.7%
2 4
 
7.7%
6 3
 
5.8%
7 2
 
3.8%
3 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
b 990
10.0%
i 990
10.0%
e 990
10.0%
v 990
10.0%
t 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
91.9%
Common 1042
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
990
95.0%
0 11
 
1.1%
8 8
 
0.8%
4 7
 
0.7%
9 7
 
0.7%
1 5
 
0.5%
5 4
 
0.4%
2 4
 
0.4%
6 3
 
0.3%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
b 990
8.3%
i 990
8.3%
e 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1042
8.1%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:00.669178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.886
Min length5

Characters and Unicode

Total characters12886
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
118230 1
 
0.1%
99344 1
 
0.1%
230000 1
 
0.1%
51339 1
 
0.1%
486162 1
 
0.1%
67877 1
 
0.1%
381993 1
 
0.1%
61994 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:42:01.014182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1066
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.4%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 81
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
13.6%
4 10
12.3%
9 10
12.3%
0 9
11.1%
7 8
9.9%
6 8
9.9%
2 7
8.6%
8 7
8.6%
3 7
8.6%
5 4
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
b 985
10.0%
i 985
10.0%
e 985
10.0%
v 985
10.0%
t 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.7%
Common 1066
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.4%
1 11
 
1.0%
4 10
 
0.9%
9 10
 
0.9%
0 9
 
0.8%
7 8
 
0.8%
6 8
 
0.8%
2 7
 
0.7%
8 7
 
0.7%
3 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
b 985
8.3%
i 985
8.3%
e 985
8.3%
v 985
8.3%
A 985
8.3%
t 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
b 985
7.6%
i 985
7.6%
e 985
7.6%
v 985
7.6%
A 985
7.6%
985
7.6%
Other values (11) 1066
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:01.201078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
73750 1
 
0.1%
95092 1
 
0.1%
232124 1
 
0.1%
2023-12-09T20:42:01.520486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
25.0%
7 2
12.5%
3 2
12.5%
5 2
12.5%
0 2
12.5%
9 2
12.5%
1 1
 
6.2%
4 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.4%
2 4
 
0.4%
7 2
 
0.2%
3 2
 
0.2%
5 2
 
0.2%
0 2
 
0.2%
9 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:01.717733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.911
Min length4

Characters and Unicode

Total characters12911
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
33780 2
 
0.1%
21250 1
 
0.1%
68120 1
 
0.1%
35000 1
 
0.1%
78000 1
 
0.1%
65462 1
 
0.1%
9285 1
 
0.1%
20000 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T20:42:02.033151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1043
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.6%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 54
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
31.5%
2 7
13.0%
3 6
 
11.1%
8 5
 
9.3%
7 4
 
7.4%
5 4
 
7.4%
6 4
 
7.4%
1 3
 
5.6%
9 3
 
5.6%
4 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
91.9%
Common 1043
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
989
94.8%
0 17
 
1.6%
2 7
 
0.7%
3 6
 
0.6%
8 5
 
0.5%
7 4
 
0.4%
5 4
 
0.4%
6 4
 
0.4%
1 3
 
0.3%
9 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1043
8.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:02.218063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length5

Characters and Unicode

Total characters12977
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
10565 1
 
0.1%
346578 1
 
0.1%
75373 1
 
0.1%
2023-12-09T20:42:02.528143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
5 4
25.0%
3 3
18.8%
7 3
18.8%
6 2
12.5%
1 1
 
6.2%
0 1
 
6.2%
4 1
 
6.2%
8 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.4%
5 4
 
0.4%
3 3
 
0.3%
7 3
 
0.3%
6 2
 
0.2%
1 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1013
7.8%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:02.720947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.929
Min length5

Characters and Unicode

Total characters12929
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
60000 1
 
0.1%
32614 1
 
0.1%
133327 1
 
0.1%
21120 1
 
0.1%
74500 1
 
0.1%
13745 1
 
0.1%
16167 1
 
0.1%
37846 1
 
0.1%
2023-12-09T20:42:03.053645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1037
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.6%
Uppercase Letter 1982
 
15.3%
Space Separator 991
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
19.6%
1 7
15.2%
3 6
13.0%
6 5
10.9%
2 5
10.9%
4 5
10.9%
7 5
10.9%
5 3
 
6.5%
8 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
o 991
10.0%
b 991
10.0%
i 991
10.0%
e 991
10.0%
v 991
10.0%
t 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.0%
Common 1037
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
o 991
8.3%
b 991
8.3%
i 991
8.3%
e 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
95.6%
0 9
 
0.9%
1 7
 
0.7%
3 6
 
0.6%
6 5
 
0.5%
2 5
 
0.5%
4 5
 
0.5%
7 5
 
0.5%
5 3
 
0.3%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1037
8.0%
Distinct92
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:42:03.416057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.168
Min length3

Characters and Unicode

Total characters12168
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)8.4%

Sample

1st rowNot Available
2nd row70000
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 900
47.4%
available 900
47.4%
4000 3
 
0.2%
999 3
 
0.2%
25000 2
 
0.1%
10000 2
 
0.1%
20000 2
 
0.1%
8000 2
 
0.1%
5000 2
 
0.1%
45997 1
 
0.1%
Other values (83) 83
 
4.4%
2023-12-09T20:42:03.898428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1800
14.8%
l 1800
14.8%
N 900
7.4%
o 900
7.4%
b 900
7.4%
i 900
7.4%
e 900
7.4%
v 900
7.4%
A 900
7.4%
900
7.4%
Other values (11) 1368
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9000
74.0%
Uppercase Letter 1800
 
14.8%
Space Separator 900
 
7.4%
Decimal Number 468
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
28.2%
9 47
 
10.0%
1 44
 
9.4%
5 42
 
9.0%
2 39
 
8.3%
4 37
 
7.9%
6 36
 
7.7%
3 32
 
6.8%
7 30
 
6.4%
8 29
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1800
20.0%
l 1800
20.0%
o 900
10.0%
b 900
10.0%
i 900
10.0%
e 900
10.0%
v 900
10.0%
t 900
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 900
50.0%
A 900
50.0%
Space Separator
ValueCountFrequency (%)
900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10800
88.8%
Common 1368
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
900
65.8%
0 132
 
9.6%
9 47
 
3.4%
1 44
 
3.2%
5 42
 
3.1%
2 39
 
2.9%
4 37
 
2.7%
6 36
 
2.6%
3 32
 
2.3%
7 30
 
2.2%
Latin
ValueCountFrequency (%)
a 1800
16.7%
l 1800
16.7%
N 900
8.3%
o 900
8.3%
b 900
8.3%
i 900
8.3%
e 900
8.3%
v 900
8.3%
A 900
8.3%
t 900
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1800
14.8%
l 1800
14.8%
N 900
7.4%
o 900
7.4%
b 900
7.4%
i 900
7.4%
e 900
7.4%
v 900
7.4%
A 900
7.4%
900
7.4%
Other values (11) 1368
11.2%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:04.142485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.871
Min length1

Characters and Unicode

Total characters12871
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
1.93311 1
 
0.1%
2.94906 1
 
0.1%
1.32661 1
 
0.1%
2.69122 1
 
0.1%
1.12026 1
 
0.1%
2.5 1
 
0.1%
2.96296 1
 
0.1%
1.33333 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T20:42:04.495862image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1111
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.1%
Uppercase Letter 1960
 
15.2%
Space Separator 980
 
7.6%
Decimal Number 112
 
0.9%
Other Punctuation 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
17.9%
3 18
16.1%
2 17
15.2%
6 15
13.4%
9 13
11.6%
5 9
8.0%
0 9
8.0%
4 5
 
4.5%
8 3
 
2.7%
7 3
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
t 980
10.0%
v 980
10.0%
i 980
10.0%
b 980
10.0%
e 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.4%
Common 1111
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
980
88.2%
1 20
 
1.8%
. 19
 
1.7%
3 18
 
1.6%
2 17
 
1.5%
6 15
 
1.4%
9 13
 
1.2%
5 9
 
0.8%
0 9
 
0.8%
4 5
 
0.5%
Other values (2) 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
t 980
8.3%
A 980
8.3%
v 980
8.3%
i 980
8.3%
b 980
8.3%
e 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.2%
l 1960
15.2%
N 980
7.6%
o 980
7.6%
t 980
7.6%
980
7.6%
A 980
7.6%
v 980
7.6%
i 980
7.6%
b 980
7.6%
Other values (12) 1111
8.6%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:42:04.708121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.815
Min length2

Characters and Unicode

Total characters12815
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
65 2
 
0.1%
72 2
 
0.1%
60 2
 
0.1%
78.32 1
 
0.1%
168 1
 
0.1%
50 1
 
0.1%
30 1
 
0.1%
90 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:42:05.027280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1031
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.6%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.7%
Decimal Number 45
 
0.4%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
17.8%
5 7
15.6%
6 6
13.3%
7 4
8.9%
8 4
8.9%
9 4
8.9%
2 3
 
6.7%
1 3
 
6.7%
4 3
 
6.7%
3 3
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
t 982
10.0%
v 982
10.0%
i 982
10.0%
b 982
10.0%
e 982
10.0%
o 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
92.0%
Common 1031
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
982
95.2%
0 8
 
0.8%
5 7
 
0.7%
6 6
 
0.6%
7 4
 
0.4%
8 4
 
0.4%
9 4
 
0.4%
. 4
 
0.4%
2 3
 
0.3%
1 3
 
0.3%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
t 982
8.3%
A 982
8.3%
v 982
8.3%
i 982
8.3%
b 982
8.3%
e 982
8.3%
o 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1031
8.0%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:42:05.224401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.874
Min length1

Characters and Unicode

Total characters11874
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
0 87
 
4.6%
1.001 3
 
0.2%
0.04999 1
 
0.1%
1.96502 1
 
0.1%
0.00806 1
 
0.1%
0.10001 1
 
0.1%
0.01684 1
 
0.1%
0.14784 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:42:05.549096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
15.2%
l 1802
15.2%
N 901
7.6%
o 901
7.6%
t 901
7.6%
901
7.6%
A 901
7.6%
v 901
7.6%
i 901
7.6%
b 901
7.6%
Other values (12) 1062
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
75.9%
Uppercase Letter 1802
 
15.2%
Space Separator 901
 
7.6%
Decimal Number 149
 
1.3%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
75.8%
1 12
 
8.1%
4 5
 
3.4%
9 5
 
3.4%
6 4
 
2.7%
5 3
 
2.0%
8 3
 
2.0%
2 2
 
1.3%
7 1
 
0.7%
3 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
o 901
10.0%
t 901
10.0%
v 901
10.0%
i 901
10.0%
b 901
10.0%
e 901
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
91.1%
Common 1062
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
901
84.8%
0 113
 
10.6%
1 12
 
1.1%
. 12
 
1.1%
4 5
 
0.5%
9 5
 
0.5%
6 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
2 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
o 901
8.3%
t 901
8.3%
A 901
8.3%
v 901
8.3%
i 901
8.3%
b 901
8.3%
e 901
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
15.2%
l 1802
15.2%
N 901
7.6%
o 901
7.6%
t 901
7.6%
901
7.6%
A 901
7.6%
v 901
7.6%
i 901
7.6%
b 901
7.6%
Other values (12) 1062
8.9%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:42:06.814055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.997
Min length1

Characters and Unicode

Total characters11997
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd row100
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
100 76
 
4.0%
90 6
 
0.3%
50 5
 
0.3%
80 3
 
0.2%
0 2
 
0.1%
70 2
 
0.1%
33.33 1
 
0.1%
36 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:42:07.135375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
15.0%
l 1802
15.0%
N 901
7.5%
o 901
7.5%
b 901
7.5%
i 901
7.5%
e 901
7.5%
v 901
7.5%
A 901
7.5%
901
7.5%
Other values (11) 1185
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
75.1%
Uppercase Letter 1802
 
15.0%
Space Separator 901
 
7.5%
Decimal Number 280
 
2.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
61.4%
1 76
27.1%
5 7
 
2.5%
3 7
 
2.5%
9 6
 
2.1%
8 6
 
2.1%
7 3
 
1.1%
4 2
 
0.7%
6 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
o 901
10.0%
b 901
10.0%
i 901
10.0%
e 901
10.0%
v 901
10.0%
t 901
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
90.1%
Common 1185
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
901
76.0%
0 172
 
14.5%
1 76
 
6.4%
5 7
 
0.6%
3 7
 
0.6%
9 6
 
0.5%
8 6
 
0.5%
. 4
 
0.3%
7 3
 
0.3%
4 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
o 901
8.3%
b 901
8.3%
i 901
8.3%
e 901
8.3%
v 901
8.3%
A 901
8.3%
t 901
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
15.0%
l 1802
15.0%
N 901
7.5%
o 901
7.5%
b 901
7.5%
i 901
7.5%
e 901
7.5%
v 901
7.5%
A 901
7.5%
901
7.5%
Other values (11) 1185
9.9%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:42:07.362031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.97
Min length1

Characters and Unicode

Total characters11970
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
0 69
 
3.6%
1.001 3
 
0.2%
0.04 1
 
0.1%
0.11719 1
 
0.1%
0.08408 1
 
0.1%
0.45524 1
 
0.1%
0.10001 1
 
0.1%
0.04681 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:42:07.721097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
15.1%
l 1802
15.1%
N 901
7.5%
o 901
7.5%
t 901
7.5%
901
7.5%
A 901
7.5%
v 901
7.5%
i 901
7.5%
b 901
7.5%
Other values (12) 1158
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
75.3%
Uppercase Letter 1802
 
15.1%
Space Separator 901
 
7.5%
Decimal Number 228
 
1.9%
Other Punctuation 29
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
49.6%
1 24
 
10.5%
4 14
 
6.1%
5 14
 
6.1%
3 14
 
6.1%
8 13
 
5.7%
6 11
 
4.8%
2 10
 
4.4%
9 9
 
3.9%
7 6
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
o 901
10.0%
t 901
10.0%
v 901
10.0%
i 901
10.0%
b 901
10.0%
e 901
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
90.3%
Common 1158
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
901
77.8%
0 113
 
9.8%
. 29
 
2.5%
1 24
 
2.1%
4 14
 
1.2%
5 14
 
1.2%
3 14
 
1.2%
8 13
 
1.1%
6 11
 
0.9%
2 10
 
0.9%
Other values (2) 15
 
1.3%
Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
o 901
8.3%
t 901
8.3%
A 901
8.3%
v 901
8.3%
i 901
8.3%
b 901
8.3%
e 901
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
15.1%
l 1802
15.1%
N 901
7.5%
o 901
7.5%
t 901
7.5%
901
7.5%
A 901
7.5%
v 901
7.5%
i 901
7.5%
b 901
7.5%
Other values (12) 1158
9.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:42:07.906261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.813
Min length1

Characters and Unicode

Total characters11813
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
0 87
 
4.6%
1 7
 
0.4%
2 2
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
10 1
 
0.1%
2023-12-09T20:42:08.214490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
15.3%
l 1802
15.3%
N 901
7.6%
o 901
7.6%
t 901
7.6%
901
7.6%
A 901
7.6%
v 901
7.6%
i 901
7.6%
b 901
7.6%
Other values (6) 1001
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
76.3%
Uppercase Letter 1802
 
15.3%
Space Separator 901
 
7.6%
Decimal Number 100
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
o 901
10.0%
t 901
10.0%
v 901
10.0%
i 901
10.0%
b 901
10.0%
e 901
10.0%
Decimal Number
ValueCountFrequency (%)
0 88
88.0%
1 8
 
8.0%
2 2
 
2.0%
6 1
 
1.0%
3 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
91.5%
Common 1001
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
o 901
8.3%
t 901
8.3%
A 901
8.3%
v 901
8.3%
i 901
8.3%
b 901
8.3%
e 901
8.3%
Common
ValueCountFrequency (%)
901
90.0%
0 88
 
8.8%
1 8
 
0.8%
2 2
 
0.2%
6 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
15.3%
l 1802
15.3%
N 901
7.6%
o 901
7.6%
t 901
7.6%
901
7.6%
A 901
7.6%
v 901
7.6%
i 901
7.6%
b 901
7.6%
Other values (6) 1001
8.5%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:42:08.408175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.818
Min length1

Characters and Unicode

Total characters11818
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 901
47.4%
available 901
47.4%
0 69
 
3.6%
1 8
 
0.4%
3 6
 
0.3%
4 3
 
0.2%
16 2
 
0.1%
8 2
 
0.1%
6 2
 
0.1%
2 2
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:42:08.727435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1802
15.2%
l 1802
15.2%
N 901
7.6%
e 901
7.6%
o 901
7.6%
i 901
7.6%
b 901
7.6%
v 901
7.6%
A 901
7.6%
901
7.6%
Other values (9) 1006
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9010
76.2%
Uppercase Letter 1802
 
15.2%
Space Separator 901
 
7.6%
Decimal Number 105
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1802
20.0%
l 1802
20.0%
e 901
10.0%
o 901
10.0%
i 901
10.0%
b 901
10.0%
v 901
10.0%
t 901
10.0%
Decimal Number
ValueCountFrequency (%)
0 70
66.7%
1 13
 
12.4%
3 7
 
6.7%
6 4
 
3.8%
2 4
 
3.8%
4 3
 
2.9%
8 2
 
1.9%
5 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 901
50.0%
A 901
50.0%
Space Separator
ValueCountFrequency (%)
901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10812
91.5%
Common 1006
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1802
16.7%
l 1802
16.7%
N 901
8.3%
e 901
8.3%
o 901
8.3%
i 901
8.3%
b 901
8.3%
v 901
8.3%
A 901
8.3%
t 901
8.3%
Common
ValueCountFrequency (%)
901
89.6%
0 70
 
7.0%
1 13
 
1.3%
3 7
 
0.7%
6 4
 
0.4%
2 4
 
0.4%
4 3
 
0.3%
8 2
 
0.2%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1802
15.2%
l 1802
15.2%
N 901
7.6%
e 901
7.6%
o 901
7.6%
i 901
7.6%
b 901
7.6%
v 901
7.6%
A 901
7.6%
901
7.6%
Other values (9) 1006
8.5%
Distinct64
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:42:09.017730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.079
Min length1

Characters and Unicode

Total characters12079
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)5.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th rowNot Available
ValueCountFrequency (%)
not 900
47.4%
available 900
47.4%
0 26
 
1.4%
5000 4
 
0.2%
4000 3
 
0.2%
10000 3
 
0.2%
12000 3
 
0.2%
13000 2
 
0.1%
871200 2
 
0.1%
25000 2
 
0.1%
Other values (55) 55
 
2.9%
2023-12-09T20:42:09.447225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1800
14.9%
l 1800
14.9%
N 900
7.5%
o 900
7.5%
b 900
7.5%
i 900
7.5%
e 900
7.5%
v 900
7.5%
A 900
7.5%
900
7.5%
Other values (11) 1279
10.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9000
74.5%
Uppercase Letter 1800
 
14.9%
Space Separator 900
 
7.5%
Decimal Number 379
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
38.5%
1 39
 
10.3%
5 34
 
9.0%
2 31
 
8.2%
3 30
 
7.9%
6 27
 
7.1%
7 25
 
6.6%
4 19
 
5.0%
8 17
 
4.5%
9 11
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1800
20.0%
l 1800
20.0%
o 900
10.0%
b 900
10.0%
i 900
10.0%
e 900
10.0%
v 900
10.0%
t 900
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 900
50.0%
A 900
50.0%
Space Separator
ValueCountFrequency (%)
900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10800
89.4%
Common 1279
 
10.6%

Most frequent character per script

Common
ValueCountFrequency (%)
900
70.4%
0 146
 
11.4%
1 39
 
3.0%
5 34
 
2.7%
2 31
 
2.4%
3 30
 
2.3%
6 27
 
2.1%
7 25
 
2.0%
4 19
 
1.5%
8 17
 
1.3%
Latin
ValueCountFrequency (%)
a 1800
16.7%
l 1800
16.7%
N 900
8.3%
o 900
8.3%
b 900
8.3%
i 900
8.3%
e 900
8.3%
v 900
8.3%
A 900
8.3%
t 900
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1800
14.9%
l 1800
14.9%
N 900
7.5%
o 900
7.5%
b 900
7.5%
i 900
7.5%
e 900
7.5%
v 900
7.5%
A 900
7.5%
900
7.5%
Other values (11) 1279
10.6%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:42:09.692006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.953
Min length1

Characters and Unicode

Total characters11953
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)3.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row198200
5th rowNot Available
ValueCountFrequency (%)
not 900
47.4%
available 900
47.4%
0 58
 
3.1%
10000 3
 
0.2%
5000 3
 
0.2%
362243 2
 
0.1%
1000 2
 
0.1%
34657 1
 
0.1%
1200 1
 
0.1%
30000 1
 
0.1%
Other values (29) 29
 
1.5%
2023-12-09T20:42:10.064734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1800
15.1%
l 1800
15.1%
N 900
7.5%
o 900
7.5%
b 900
7.5%
i 900
7.5%
e 900
7.5%
v 900
7.5%
A 900
7.5%
900
7.5%
Other values (11) 1153
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9000
75.3%
Uppercase Letter 1800
 
15.1%
Space Separator 900
 
7.5%
Decimal Number 253
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 144
56.9%
1 18
 
7.1%
5 18
 
7.1%
2 17
 
6.7%
3 13
 
5.1%
4 12
 
4.7%
7 10
 
4.0%
6 8
 
3.2%
8 8
 
3.2%
9 5
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1800
20.0%
l 1800
20.0%
o 900
10.0%
b 900
10.0%
i 900
10.0%
e 900
10.0%
v 900
10.0%
t 900
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 900
50.0%
A 900
50.0%
Space Separator
ValueCountFrequency (%)
900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10800
90.4%
Common 1153
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
900
78.1%
0 144
 
12.5%
1 18
 
1.6%
5 18
 
1.6%
2 17
 
1.5%
3 13
 
1.1%
4 12
 
1.0%
7 10
 
0.9%
6 8
 
0.7%
8 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1800
16.7%
l 1800
16.7%
N 900
8.3%
o 900
8.3%
b 900
8.3%
i 900
8.3%
e 900
8.3%
v 900
8.3%
A 900
8.3%
t 900
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11953
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1800
15.1%
l 1800
15.1%
N 900
7.5%
o 900
7.5%
b 900
7.5%
i 900
7.5%
e 900
7.5%
v 900
7.5%
A 900
7.5%
900
7.5%
Other values (11) 1153
9.6%
Distinct45
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:42:10.340682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.673
Min length4

Characters and Unicode

Total characters12673
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)4.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 955
48.8%
available 955
48.8%
100000 2
 
0.1%
259966 1
 
0.1%
185490 1
 
0.1%
140105 1
 
0.1%
86000 1
 
0.1%
102824 1
 
0.1%
542940 1
 
0.1%
170000 1
 
0.1%
Other values (36) 36
 
1.8%
2023-12-09T20:42:10.747330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1910
15.1%
l 1910
15.1%
N 955
7.5%
o 955
7.5%
b 955
7.5%
i 955
7.5%
e 955
7.5%
v 955
7.5%
A 955
7.5%
955
7.5%
Other values (11) 1213
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9550
75.4%
Uppercase Letter 1910
 
15.1%
Space Separator 955
 
7.5%
Decimal Number 258
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
29.1%
1 37
14.3%
5 30
 
11.6%
6 20
 
7.8%
8 19
 
7.4%
2 19
 
7.4%
4 17
 
6.6%
7 15
 
5.8%
9 14
 
5.4%
3 12
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1910
20.0%
l 1910
20.0%
o 955
10.0%
b 955
10.0%
i 955
10.0%
e 955
10.0%
v 955
10.0%
t 955
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 955
50.0%
A 955
50.0%
Space Separator
ValueCountFrequency (%)
955
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11460
90.4%
Common 1213
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
955
78.7%
0 75
 
6.2%
1 37
 
3.1%
5 30
 
2.5%
6 20
 
1.6%
8 19
 
1.6%
2 19
 
1.6%
4 17
 
1.4%
7 15
 
1.2%
9 14
 
1.2%
Latin
ValueCountFrequency (%)
a 1910
16.7%
l 1910
16.7%
N 955
8.3%
o 955
8.3%
b 955
8.3%
i 955
8.3%
e 955
8.3%
v 955
8.3%
A 955
8.3%
t 955
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1910
15.1%
l 1910
15.1%
N 955
7.5%
o 955
7.5%
b 955
7.5%
i 955
7.5%
e 955
7.5%
v 955
7.5%
A 955
7.5%
955
7.5%
Other values (11) 1213
9.6%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:42:10.964146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.765
Min length1

Characters and Unicode

Total characters12765
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 977
49.4%
available 977
49.4%
0 5
 
0.3%
700 2
 
0.1%
300 2
 
0.1%
400 1
 
0.1%
2000 1
 
0.1%
632 1
 
0.1%
550 1
 
0.1%
250 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:42:11.295483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
o 977
7.7%
b 977
7.7%
i 977
7.7%
e 977
7.7%
v 977
7.7%
A 977
7.7%
977
7.7%
Other values (10) 1041
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9770
76.5%
Uppercase Letter 1954
 
15.3%
Space Separator 977
 
7.7%
Decimal Number 64
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
50.0%
5 7
 
10.9%
2 7
 
10.9%
4 6
 
9.4%
7 3
 
4.7%
3 3
 
4.7%
6 3
 
4.7%
8 2
 
3.1%
1 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1954
20.0%
l 1954
20.0%
o 977
10.0%
b 977
10.0%
i 977
10.0%
e 977
10.0%
v 977
10.0%
t 977
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 977
50.0%
A 977
50.0%
Space Separator
ValueCountFrequency (%)
977
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11724
91.8%
Common 1041
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1954
16.7%
l 1954
16.7%
N 977
8.3%
o 977
8.3%
b 977
8.3%
i 977
8.3%
e 977
8.3%
v 977
8.3%
A 977
8.3%
t 977
8.3%
Common
ValueCountFrequency (%)
977
93.9%
0 32
 
3.1%
5 7
 
0.7%
2 7
 
0.7%
4 6
 
0.6%
7 3
 
0.3%
3 3
 
0.3%
6 3
 
0.3%
8 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1954
15.3%
l 1954
15.3%
N 977
7.7%
o 977
7.7%
b 977
7.7%
i 977
7.7%
e 977
7.7%
v 977
7.7%
A 977
7.7%
977
7.7%
Other values (10) 1041
8.2%
Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:42:11.557183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.701
Min length1

Characters and Unicode

Total characters12701
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)3.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
1.95 5
 
0.3%
1.7555 1
 
0.1%
1.20624 1
 
0.1%
2.38946 1
 
0.1%
24.8 1
 
0.1%
1.48256 1
 
0.1%
2.10873 1
 
0.1%
0.77184 1
 
0.1%
Other values (32) 32
 
1.6%
2023-12-09T20:42:11.954501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.1%
l 1912
15.1%
N 956
7.5%
t 956
7.5%
956
7.5%
A 956
7.5%
v 956
7.5%
i 956
7.5%
b 956
7.5%
e 956
7.5%
Other values (12) 1229
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
75.3%
Uppercase Letter 1912
 
15.1%
Space Separator 956
 
7.5%
Decimal Number 230
 
1.8%
Other Punctuation 43
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 37
16.1%
2 29
12.6%
4 28
12.2%
8 28
12.2%
3 20
8.7%
9 19
8.3%
0 19
8.3%
5 17
7.4%
6 17
7.4%
7 16
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
o 956
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
. 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
90.3%
Common 1229
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
956
77.8%
. 43
 
3.5%
1 37
 
3.0%
2 29
 
2.4%
4 28
 
2.3%
8 28
 
2.3%
3 20
 
1.6%
9 19
 
1.5%
0 19
 
1.5%
5 17
 
1.4%
Other values (2) 33
 
2.7%
Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%
o 956
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.1%
l 1912
15.1%
N 956
7.5%
t 956
7.5%
956
7.5%
A 956
7.5%
v 956
7.5%
i 956
7.5%
b 956
7.5%
e 956
7.5%
Other values (12) 1229
9.7%
Distinct37
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:42:12.211915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.692
Min length3

Characters and Unicode

Total characters12692
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)3.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 956
48.9%
available 956
48.9%
0.32 7
 
0.4%
0.31998 2
 
0.1%
0.5 2
 
0.1%
0.32426 1
 
0.1%
1.25016 1
 
0.1%
0.86667 1
 
0.1%
0.17844 1
 
0.1%
0.76023 1
 
0.1%
Other values (28) 28
 
1.4%
2023-12-09T20:42:12.595391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1912
15.1%
l 1912
15.1%
N 956
7.5%
o 956
7.5%
t 956
7.5%
956
7.5%
A 956
7.5%
v 956
7.5%
i 956
7.5%
b 956
7.5%
Other values (12) 1220
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9560
75.3%
Uppercase Letter 1912
 
15.1%
Space Separator 956
 
7.5%
Decimal Number 220
 
1.7%
Other Punctuation 44
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
23.6%
3 27
12.3%
2 26
11.8%
4 21
9.5%
6 19
 
8.6%
1 15
 
6.8%
9 15
 
6.8%
8 15
 
6.8%
5 15
 
6.8%
7 15
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1912
20.0%
l 1912
20.0%
o 956
10.0%
t 956
10.0%
v 956
10.0%
i 956
10.0%
b 956
10.0%
e 956
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 956
50.0%
A 956
50.0%
Space Separator
ValueCountFrequency (%)
956
100.0%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11472
90.4%
Common 1220
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
956
78.4%
0 52
 
4.3%
. 44
 
3.6%
3 27
 
2.2%
2 26
 
2.1%
4 21
 
1.7%
6 19
 
1.6%
1 15
 
1.2%
9 15
 
1.2%
8 15
 
1.2%
Other values (2) 30
 
2.5%
Latin
ValueCountFrequency (%)
a 1912
16.7%
l 1912
16.7%
N 956
8.3%
o 956
8.3%
t 956
8.3%
A 956
8.3%
v 956
8.3%
i 956
8.3%
b 956
8.3%
e 956
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1912
15.1%
l 1912
15.1%
N 956
7.5%
o 956
7.5%
t 956
7.5%
956
7.5%
A 956
7.5%
v 956
7.5%
i 956
7.5%
b 956
7.5%
Other values (12) 1220
9.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:42:12.778292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.538
Min length2

Characters and Unicode

Total characters12538
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 955
48.8%
available 955
48.8%
100 33
 
1.7%
90 9
 
0.5%
80 2
 
0.1%
20 1
 
0.1%
2023-12-09T20:42:13.067262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1910
15.2%
l 1910
15.2%
N 955
7.6%
o 955
7.6%
t 955
7.6%
955
7.6%
A 955
7.6%
v 955
7.6%
i 955
7.6%
b 955
7.6%
Other values (6) 1078
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9550
76.2%
Uppercase Letter 1910
 
15.2%
Space Separator 955
 
7.6%
Decimal Number 123
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1910
20.0%
l 1910
20.0%
o 955
10.0%
t 955
10.0%
v 955
10.0%
i 955
10.0%
b 955
10.0%
e 955
10.0%
Decimal Number
ValueCountFrequency (%)
0 78
63.4%
1 33
26.8%
9 9
 
7.3%
8 2
 
1.6%
2 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 955
50.0%
A 955
50.0%
Space Separator
ValueCountFrequency (%)
955
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11460
91.4%
Common 1078
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1910
16.7%
l 1910
16.7%
N 955
8.3%
o 955
8.3%
t 955
8.3%
A 955
8.3%
v 955
8.3%
i 955
8.3%
b 955
8.3%
e 955
8.3%
Common
ValueCountFrequency (%)
955
88.6%
0 78
 
7.2%
1 33
 
3.1%
9 9
 
0.8%
8 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1910
15.2%
l 1910
15.2%
N 955
7.6%
o 955
7.6%
t 955
7.6%
955
7.6%
A 955
7.6%
v 955
7.6%
i 955
7.6%
b 955
7.6%
Other values (6) 1078
8.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:13.239593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length2

Characters and Unicode

Total characters12978
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
no 2
 
0.1%
2023-12-09T20:42:13.524608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9982
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 1000
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11980
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 1000
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:42:13.660357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.036
Min length2

Characters and Unicode

Total characters2036
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 997
99.4%
possible 3
 
0.3%
issue 3
 
0.3%
2023-12-09T20:42:13.915616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
3
 
0.1%
Other values (2) 6
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1030
50.6%
Uppercase Letter 1003
49.3%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 997
96.8%
s 12
 
1.2%
e 6
 
0.6%
o 3
 
0.3%
i 3
 
0.3%
b 3
 
0.3%
l 3
 
0.3%
u 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
O 997
99.4%
P 3
 
0.3%
I 3
 
0.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2033
99.9%
Common 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
I 3
 
0.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
3
 
0.1%
Other values (2) 6
 
0.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:42:14.052664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.105
Min length2

Characters and Unicode

Total characters2105
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowPossible Issue
5th rowOk
ValueCountFrequency (%)
ok 996
98.0%
unable 3
 
0.3%
to 3
 
0.3%
check 3
 
0.3%
not 3
 
0.3%
enough 3
 
0.3%
data 3
 
0.3%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:42:14.315026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 999
47.5%
O 996
47.3%
16
 
0.8%
e 11
 
0.5%
o 10
 
0.5%
n 9
 
0.4%
a 9
 
0.4%
t 9
 
0.4%
h 6
 
0.3%
s 4
 
0.2%
Other values (13) 36
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1079
51.3%
Uppercase Letter 1004
47.7%
Space Separator 16
 
0.8%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
92.6%
e 11
 
1.0%
o 10
 
0.9%
n 9
 
0.8%
a 9
 
0.8%
t 9
 
0.8%
h 6
 
0.6%
s 4
 
0.4%
b 4
 
0.4%
l 4
 
0.4%
Other values (5) 14
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
O 996
99.2%
C 3
 
0.3%
U 3
 
0.3%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2083
99.0%
Common 22
 
1.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 999
48.0%
O 996
47.8%
e 11
 
0.5%
o 10
 
0.5%
n 9
 
0.4%
a 9
 
0.4%
t 9
 
0.4%
h 6
 
0.3%
s 4
 
0.2%
b 4
 
0.2%
Other values (10) 26
 
1.2%
Common
ValueCountFrequency (%)
16
72.7%
) 3
 
13.6%
( 3
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 999
47.5%
O 996
47.3%
16
 
0.8%
e 11
 
0.5%
o 10
 
0.5%
n 9
 
0.4%
a 9
 
0.4%
t 9
 
0.4%
h 6
 
0.3%
s 4
 
0.2%
Other values (13) 36
 
1.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size61.6 KiB
2023-12-09T20:42:14.478215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length5.993
Min length2

Characters and Unicode

Total characters5993
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
ok 655
48.1%
not 227
 
16.7%
available 223
 
16.4%
possible 118
 
8.7%
issue 118
 
8.7%
unable 4
 
0.3%
to 4
 
0.3%
check 4
 
0.3%
enough 4
 
0.3%
data 4
 
0.3%
2023-12-09T20:42:14.756237image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 659
11.0%
O 655
10.9%
l 568
9.5%
s 472
 
7.9%
e 471
 
7.9%
a 458
 
7.6%
361
 
6.0%
o 353
 
5.9%
b 345
 
5.8%
i 341
 
5.7%
Other values (16) 1310
21.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4279
71.4%
Uppercase Letter 1345
 
22.4%
Space Separator 361
 
6.0%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 659
15.4%
l 568
13.3%
s 472
11.0%
e 471
11.0%
a 458
10.7%
o 353
8.2%
b 345
8.1%
i 341
8.0%
t 235
 
5.5%
v 223
 
5.2%
Other values (6) 154
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
O 655
48.7%
N 223
 
16.6%
A 223
 
16.6%
P 118
 
8.8%
I 118
 
8.8%
U 4
 
0.3%
C 4
 
0.3%
Space Separator
ValueCountFrequency (%)
361
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5624
93.8%
Common 369
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 659
11.7%
O 655
11.6%
l 568
10.1%
s 472
8.4%
e 471
8.4%
a 458
8.1%
o 353
 
6.3%
b 345
 
6.1%
i 341
 
6.1%
t 235
 
4.2%
Other values (13) 1067
19.0%
Common
ValueCountFrequency (%)
361
97.8%
( 4
 
1.1%
) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 659
11.0%
O 655
10.9%
l 568
9.5%
s 472
 
7.9%
e 471
 
7.9%
a 458
 
7.6%
361
 
6.0%
o 353
 
5.9%
b 345
 
5.8%
i 341
 
5.7%
Other values (16) 1310
21.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:42:14.907496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length4.589
Min length2

Characters and Unicode

Total characters4589
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
ok 772
62.1%
not 227
 
18.2%
available 223
 
17.9%
unable 4
 
0.3%
to 4
 
0.3%
check 4
 
0.3%
enough 4
 
0.3%
data 4
 
0.3%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:42:15.173792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 776
16.9%
O 772
16.8%
a 458
10.0%
l 451
9.8%
244
 
5.3%
e 237
 
5.2%
o 236
 
5.1%
t 235
 
5.1%
b 228
 
5.0%
i 224
 
4.9%
Other values (16) 728
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3109
67.7%
Uppercase Letter 1228
 
26.8%
Space Separator 244
 
5.3%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 776
25.0%
a 458
14.7%
l 451
14.5%
e 237
 
7.6%
o 236
 
7.6%
t 235
 
7.6%
b 228
 
7.3%
i 224
 
7.2%
v 223
 
7.2%
n 12
 
0.4%
Other values (6) 29
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
O 772
62.9%
A 223
 
18.2%
N 223
 
18.2%
U 4
 
0.3%
C 4
 
0.3%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4337
94.5%
Common 252
 
5.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 776
17.9%
O 772
17.8%
a 458
10.6%
l 451
10.4%
e 237
 
5.5%
o 236
 
5.4%
t 235
 
5.4%
b 228
 
5.3%
i 224
 
5.2%
A 223
 
5.1%
Other values (13) 497
11.5%
Common
ValueCountFrequency (%)
244
96.8%
) 4
 
1.6%
( 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 776
16.9%
O 772
16.8%
a 458
10.0%
l 451
9.8%
244
 
5.3%
e 237
 
5.2%
o 236
 
5.1%
t 235
 
5.1%
b 228
 
5.0%
i 224
 
4.9%
Other values (16) 728
15.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:42:15.321787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length4.577
Min length2

Characters and Unicode

Total characters4577
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
ok 773
62.2%
not 227
 
18.3%
available 223
 
17.9%
unable 4
 
0.3%
to 4
 
0.3%
check 4
 
0.3%
enough 4
 
0.3%
data 4
 
0.3%
2023-12-09T20:42:15.581418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 777
17.0%
O 773
16.9%
a 458
10.0%
l 450
9.8%
243
 
5.3%
e 235
 
5.1%
o 235
 
5.1%
t 235
 
5.1%
b 227
 
5.0%
i 223
 
4.9%
Other values (13) 721
15.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3099
67.7%
Uppercase Letter 1227
 
26.8%
Space Separator 243
 
5.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 777
25.1%
a 458
14.8%
l 450
14.5%
e 235
 
7.6%
o 235
 
7.6%
t 235
 
7.6%
b 227
 
7.3%
i 223
 
7.2%
v 223
 
7.2%
n 12
 
0.4%
Other values (5) 24
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
O 773
63.0%
A 223
 
18.2%
N 223
 
18.2%
U 4
 
0.3%
C 4
 
0.3%
Space Separator
ValueCountFrequency (%)
243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4326
94.5%
Common 251
 
5.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 777
18.0%
O 773
17.9%
a 458
10.6%
l 450
10.4%
e 235
 
5.4%
o 235
 
5.4%
t 235
 
5.4%
b 227
 
5.2%
i 223
 
5.2%
v 223
 
5.2%
Other values (10) 490
11.3%
Common
ValueCountFrequency (%)
243
96.8%
( 4
 
1.6%
) 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 777
17.0%
O 773
16.9%
a 458
10.0%
l 450
9.8%
243
 
5.3%
e 235
 
5.1%
o 235
 
5.1%
t 235
 
5.1%
b 227
 
5.0%
i 223
 
4.9%
Other values (13) 721
15.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:42:15.738698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length5.609
Min length2

Characters and Unicode

Total characters5609
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
ok 687
51.7%
not 227
 
17.1%
available 223
 
16.8%
possible 86
 
6.5%
issue 86
 
6.5%
unable 4
 
0.3%
to 4
 
0.3%
check 4
 
0.3%
enough 4
 
0.3%
data 4
 
0.3%
2023-12-09T20:42:16.022492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 691
12.3%
O 687
12.2%
l 536
9.6%
a 458
 
8.2%
e 407
 
7.3%
s 344
 
6.1%
329
 
5.9%
o 321
 
5.7%
b 313
 
5.6%
i 309
 
5.5%
Other values (16) 1214
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3959
70.6%
Uppercase Letter 1313
 
23.4%
Space Separator 329
 
5.9%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 691
17.5%
l 536
13.5%
a 458
11.6%
e 407
10.3%
s 344
8.7%
o 321
8.1%
b 313
7.9%
i 309
7.8%
t 235
 
5.9%
v 223
 
5.6%
Other values (6) 122
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
O 687
52.3%
N 223
 
17.0%
A 223
 
17.0%
P 86
 
6.5%
I 86
 
6.5%
U 4
 
0.3%
C 4
 
0.3%
Space Separator
ValueCountFrequency (%)
329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5272
94.0%
Common 337
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 691
13.1%
O 687
13.0%
l 536
10.2%
a 458
8.7%
e 407
7.7%
s 344
 
6.5%
o 321
 
6.1%
b 313
 
5.9%
i 309
 
5.9%
t 235
 
4.5%
Other values (13) 971
18.4%
Common
ValueCountFrequency (%)
329
97.6%
( 4
 
1.2%
) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 691
12.3%
O 687
12.2%
l 536
9.6%
a 458
 
8.2%
e 407
 
7.3%
s 344
 
6.1%
329
 
5.9%
o 321
 
5.7%
b 313
 
5.6%
i 309
 
5.5%
Other values (16) 1214
21.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:42:16.164904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length4.585
Min length2

Characters and Unicode

Total characters4585
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
ok 766
62.1%
not 223
 
18.1%
available 223
 
18.1%
possible 11
 
0.9%
issue 11
 
0.9%
2023-12-09T20:42:16.423907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 766
16.7%
k 766
16.7%
l 457
10.0%
a 446
9.7%
e 245
 
5.3%
234
 
5.1%
o 234
 
5.1%
i 234
 
5.1%
b 234
 
5.1%
t 223
 
4.9%
Other values (7) 746
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3117
68.0%
Uppercase Letter 1234
 
26.9%
Space Separator 234
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 766
24.6%
l 457
14.7%
a 446
14.3%
e 245
 
7.9%
o 234
 
7.5%
i 234
 
7.5%
b 234
 
7.5%
t 223
 
7.2%
v 223
 
7.2%
s 44
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
O 766
62.1%
A 223
 
18.1%
N 223
 
18.1%
P 11
 
0.9%
I 11
 
0.9%
Space Separator
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4351
94.9%
Common 234
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 766
17.6%
k 766
17.6%
l 457
10.5%
a 446
10.3%
e 245
 
5.6%
o 234
 
5.4%
i 234
 
5.4%
b 234
 
5.4%
t 223
 
5.1%
A 223
 
5.1%
Other values (6) 523
12.0%
Common
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4585
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 766
16.7%
k 766
16.7%
l 457
10.0%
a 446
9.7%
e 245
 
5.3%
234
 
5.1%
o 234
 
5.1%
i 234
 
5.1%
b 234
 
5.1%
t 223
 
4.9%
Other values (7) 746
16.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:42:16.527787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:42:16.736424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.1 KiB
2023-12-09T20:42:16.862412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.369
Min length2

Characters and Unicode

Total characters2369
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 631
63.1%
yes 369
36.9%
2023-12-09T20:42:17.106450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 631
26.6%
o 631
26.6%
Y 369
15.6%
e 369
15.6%
s 369
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1369
57.8%
Uppercase Letter 1000
42.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 631
46.1%
e 369
27.0%
s 369
27.0%
Uppercase Letter
ValueCountFrequency (%)
N 631
63.1%
Y 369
36.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 2369
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 631
26.6%
o 631
26.6%
Y 369
15.6%
e 369
15.6%
s 369
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 631
26.6%
o 631
26.6%
Y 369
15.6%
e 369
15.6%
s 369
15.6%
Distinct114
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:42:17.400557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.893
Min length10

Characters and Unicode

Total characters11893
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)4.8%

Sample

1st row2018-02-01
2nd row2017-11-01
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 631
38.7%
available 631
38.7%
2017-04-28 23
 
1.4%
2017-04-26 22
 
1.3%
2017-04-19 20
 
1.2%
2017-03-21 14
 
0.9%
2017-08-01 12
 
0.7%
2017-10-31 11
 
0.7%
2017-07-09 10
 
0.6%
2017-04-27 9
 
0.6%
Other values (105) 248
 
15.2%
2023-12-09T20:42:17.833051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1262
 
10.6%
l 1262
 
10.6%
0 814
 
6.8%
- 738
 
6.2%
1 640
 
5.4%
N 631
 
5.3%
t 631
 
5.3%
631
 
5.3%
A 631
 
5.3%
v 631
 
5.3%
Other values (12) 4022
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6310
53.1%
Decimal Number 2952
24.8%
Uppercase Letter 1262
 
10.6%
Dash Punctuation 738
 
6.2%
Space Separator 631
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 814
27.6%
1 640
21.7%
2 567
19.2%
7 449
15.2%
4 117
 
4.0%
8 93
 
3.2%
6 93
 
3.2%
3 86
 
2.9%
9 55
 
1.9%
5 38
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1262
20.0%
l 1262
20.0%
t 631
10.0%
v 631
10.0%
i 631
10.0%
b 631
10.0%
e 631
10.0%
o 631
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 631
50.0%
A 631
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 738
100.0%
Space Separator
ValueCountFrequency (%)
631
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7572
63.7%
Common 4321
36.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 814
18.8%
- 738
17.1%
1 640
14.8%
631
14.6%
2 567
13.1%
7 449
10.4%
4 117
 
2.7%
8 93
 
2.2%
6 93
 
2.2%
3 86
 
2.0%
Other values (2) 93
 
2.2%
Latin
ValueCountFrequency (%)
a 1262
16.7%
l 1262
16.7%
N 631
8.3%
t 631
8.3%
A 631
8.3%
v 631
8.3%
i 631
8.3%
b 631
8.3%
e 631
8.3%
o 631
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1262
 
10.6%
l 1262
 
10.6%
0 814
 
6.8%
- 738
 
6.2%
1 640
 
5.4%
N 631
 
5.3%
t 631
 
5.3%
631
 
5.3%
A 631
 
5.3%
v 631
 
5.3%
Other values (12) 4022
33.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.1 KiB
2023-12-09T20:42:17.971199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.337
Min length2

Characters and Unicode

Total characters2337
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 663
66.3%
yes 337
33.7%
2023-12-09T20:42:18.216980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 663
28.4%
o 663
28.4%
Y 337
14.4%
e 337
14.4%
s 337
14.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1337
57.2%
Uppercase Letter 1000
42.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 663
49.6%
e 337
25.2%
s 337
25.2%
Uppercase Letter
ValueCountFrequency (%)
N 663
66.3%
Y 337
33.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 2337
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 663
28.4%
o 663
28.4%
Y 337
14.4%
e 337
14.4%
s 337
14.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 663
28.4%
o 663
28.4%
Y 337
14.4%
e 337
14.4%
s 337
14.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.2 KiB
2023-12-09T20:42:18.340438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.425
Min length2

Characters and Unicode

Total characters2425
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 905
85.8%
yes 84
 
8.0%
unable 11
 
1.0%
to 11
 
1.0%
check 11
 
1.0%
not 11
 
1.0%
enough 11
 
1.0%
data 11
 
1.0%
2023-12-09T20:42:18.586170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 938
38.7%
N 905
37.3%
e 117
 
4.8%
Y 84
 
3.5%
s 84
 
3.5%
55
 
2.3%
n 33
 
1.4%
a 33
 
1.4%
t 33
 
1.4%
h 22
 
0.9%
Other values (11) 121
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1337
55.1%
Uppercase Letter 1011
41.7%
Space Separator 55
 
2.3%
Open Punctuation 11
 
0.5%
Close Punctuation 11
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 938
70.2%
e 117
 
8.8%
s 84
 
6.3%
n 33
 
2.5%
a 33
 
2.5%
t 33
 
2.5%
h 22
 
1.6%
b 11
 
0.8%
l 11
 
0.8%
c 11
 
0.8%
Other values (4) 44
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 905
89.5%
Y 84
 
8.3%
U 11
 
1.1%
C 11
 
1.1%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2348
96.8%
Common 77
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 938
39.9%
N 905
38.5%
e 117
 
5.0%
Y 84
 
3.6%
s 84
 
3.6%
n 33
 
1.4%
a 33
 
1.4%
t 33
 
1.4%
h 22
 
0.9%
b 11
 
0.5%
Other values (8) 88
 
3.7%
Common
ValueCountFrequency (%)
55
71.4%
( 11
 
14.3%
) 11
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 938
38.7%
N 905
37.3%
e 117
 
4.8%
Y 84
 
3.5%
s 84
 
3.5%
55
 
2.3%
n 33
 
1.4%
a 33
 
1.4%
t 33
 
1.4%
h 22
 
0.9%
Other values (11) 121
 
5.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:42:18.698373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.036
Min length2

Characters and Unicode

Total characters2036
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 964
96.4%
yes 36
 
3.6%
2023-12-09T20:42:18.918800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 964
47.3%
o 964
47.3%
Y 36
 
1.8%
e 36
 
1.8%
s 36
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1036
50.9%
Uppercase Letter 1000
49.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 964
93.1%
e 36
 
3.5%
s 36
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
N 964
96.4%
Y 36
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 2036
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 964
47.3%
o 964
47.3%
Y 36
 
1.8%
e 36
 
1.8%
s 36
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 964
47.3%
o 964
47.3%
Y 36
 
1.8%
e 36
 
1.8%
s 36
 
1.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:19.094885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length12.993
Min length2

Characters and Unicode

Total characters12993
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowYes
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
no 597
21.6%
unable 353
12.8%
to 353
12.8%
check 353
12.8%
not 353
12.8%
enough 353
12.8%
data 353
12.8%
yes 50
 
1.8%
2023-12-09T20:42:19.388146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1765
13.6%
o 1656
12.7%
e 1109
 
8.5%
n 1059
 
8.2%
a 1059
 
8.2%
t 1059
 
8.2%
h 706
 
5.4%
N 597
 
4.6%
( 353
 
2.7%
) 353
 
2.7%
Other values (11) 3277
25.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9169
70.6%
Space Separator 1765
 
13.6%
Uppercase Letter 1353
 
10.4%
Open Punctuation 353
 
2.7%
Close Punctuation 353
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1656
18.1%
e 1109
12.1%
n 1059
11.5%
a 1059
11.5%
t 1059
11.5%
h 706
7.7%
d 353
 
3.8%
g 353
 
3.8%
u 353
 
3.8%
k 353
 
3.8%
Other values (4) 1109
12.1%
Uppercase Letter
ValueCountFrequency (%)
N 597
44.1%
C 353
26.1%
U 353
26.1%
Y 50
 
3.7%
Space Separator
ValueCountFrequency (%)
1765
100.0%
Open Punctuation
ValueCountFrequency (%)
( 353
100.0%
Close Punctuation
ValueCountFrequency (%)
) 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10522
81.0%
Common 2471
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1656
15.7%
e 1109
10.5%
n 1059
10.1%
a 1059
10.1%
t 1059
10.1%
h 706
 
6.7%
N 597
 
5.7%
d 353
 
3.4%
g 353
 
3.4%
u 353
 
3.4%
Other values (8) 2218
21.1%
Common
ValueCountFrequency (%)
1765
71.4%
( 353
 
14.3%
) 353
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1765
13.6%
o 1656
12.7%
e 1109
 
8.5%
n 1059
 
8.2%
a 1059
 
8.2%
t 1059
 
8.2%
h 706
 
5.4%
N 597
 
4.6%
( 353
 
2.7%
) 353
 
2.7%
Other values (11) 3277
25.2%
Distinct879
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:42:19.848991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.577
Min length4

Characters and Unicode

Total characters5577
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)80.3%

Sample

1st row248830
2nd row70000
3rd row114217
4th row198200
5th row77503
ValueCountFrequency (%)
60000 7
 
0.7%
120000 7
 
0.7%
50000 7
 
0.7%
125000 6
 
0.6%
51000 5
 
0.5%
100000 5
 
0.5%
80000 5
 
0.5%
104463 4
 
0.4%
55000 4
 
0.4%
26750 4
 
0.4%
Other values (869) 946
94.6%
2023-12-09T20:42:20.460504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1326
23.8%
1 678
12.2%
5 544
9.8%
6 490
 
8.8%
2 488
 
8.8%
8 458
 
8.2%
7 429
 
7.7%
4 426
 
7.6%
3 371
 
6.7%
9 367
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5577
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1326
23.8%
1 678
12.2%
5 544
9.8%
6 490
 
8.8%
2 488
 
8.8%
8 458
 
8.2%
7 429
 
7.7%
4 426
 
7.6%
3 371
 
6.7%
9 367
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 5577
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1326
23.8%
1 678
12.2%
5 544
9.8%
6 490
 
8.8%
2 488
 
8.8%
8 458
 
8.2%
7 429
 
7.7%
4 426
 
7.6%
3 371
 
6.7%
9 367
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1326
23.8%
1 678
12.2%
5 544
9.8%
6 490
 
8.8%
2 488
 
8.8%
8 458
 
8.2%
7 429
 
7.7%
4 426
 
7.6%
3 371
 
6.7%
9 367
 
6.6%
Distinct880
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:42:20.891230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.612
Min length4

Characters and Unicode

Total characters5612
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)80.3%

Sample

1st row248830
2nd row70000
3rd row114217
4th row198200
5th row77503
ValueCountFrequency (%)
120000 6
 
0.6%
50000 6
 
0.6%
125000 6
 
0.6%
90000 5
 
0.5%
55000 5
 
0.5%
100000 5
 
0.5%
51000 5
 
0.5%
80000 5
 
0.5%
60000 5
 
0.5%
104463 4
 
0.4%
Other values (871) 951
94.8%
2023-12-09T20:42:21.448362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1301
23.2%
1 675
12.0%
5 551
9.8%
6 486
 
8.7%
2 480
 
8.6%
8 475
 
8.5%
7 432
 
7.7%
4 429
 
7.6%
3 376
 
6.7%
9 367
 
6.5%
Other values (12) 40
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5572
99.3%
Lowercase Letter 30
 
0.5%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1301
23.3%
1 675
12.1%
5 551
9.9%
6 486
 
8.7%
2 480
 
8.6%
8 475
 
8.5%
7 432
 
7.8%
4 429
 
7.7%
3 376
 
6.7%
9 367
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
o 3
10.0%
v 3
10.0%
t 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5576
99.4%
Latin 36
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1301
23.3%
1 675
12.1%
5 551
9.9%
6 486
 
8.7%
2 480
 
8.6%
8 475
 
8.5%
7 432
 
7.7%
4 429
 
7.7%
3 376
 
6.7%
9 367
 
6.6%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
o 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1301
23.2%
1 675
12.0%
5 551
9.8%
6 486
 
8.7%
2 480
 
8.6%
8 475
 
8.5%
7 432
 
7.7%
4 429
 
7.6%
3 376
 
6.7%
9 367
 
6.5%
Other values (12) 40
 
0.7%
Distinct878
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:42:21.917400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.6
Min length4

Characters and Unicode

Total characters5600
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique803 ?
Unique (%)80.3%

Sample

1st row248830
2nd row70000
3rd row114217
4th row198200
5th row77503
ValueCountFrequency (%)
50000 7
 
0.7%
120000 7
 
0.7%
60000 7
 
0.7%
125000 6
 
0.6%
100000 5
 
0.5%
55000 5
 
0.5%
51000 5
 
0.5%
80000 5
 
0.5%
75000 4
 
0.4%
200000 4
 
0.4%
Other values (869) 948
94.5%
2023-12-09T20:42:22.500861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1320
23.6%
1 677
12.1%
5 548
9.8%
6 488
 
8.7%
2 488
 
8.7%
8 453
 
8.1%
7 423
 
7.6%
4 422
 
7.5%
3 373
 
6.7%
9 368
 
6.6%
Other values (12) 40
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5560
99.3%
Lowercase Letter 30
 
0.5%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1320
23.7%
1 677
12.2%
5 548
9.9%
6 488
 
8.8%
2 488
 
8.8%
8 453
 
8.1%
7 423
 
7.6%
4 422
 
7.6%
3 373
 
6.7%
9 368
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
t 3
10.0%
v 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5564
99.4%
Latin 36
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1320
23.7%
1 677
12.2%
5 548
9.8%
6 488
 
8.8%
2 488
 
8.8%
8 453
 
8.1%
7 423
 
7.6%
4 422
 
7.6%
3 373
 
6.7%
9 368
 
6.6%
Other values (2) 4
 
0.1%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
t 3
8.3%
v 3
8.3%
A 3
8.3%
o 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1320
23.6%
1 677
12.1%
5 548
9.8%
6 488
 
8.7%
2 488
 
8.7%
8 453
 
8.1%
7 423
 
7.6%
4 422
 
7.5%
3 373
 
6.7%
9 368
 
6.6%
Other values (12) 40
 
0.7%
Distinct80
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:42:22.839584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.183
Min length3

Characters and Unicode

Total characters12183
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)6.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row198200
5th rowNot Available
ValueCountFrequency (%)
not 900
47.4%
available 900
47.4%
10000 6
 
0.3%
12000 5
 
0.3%
13000 2
 
0.1%
4000 2
 
0.1%
8500 2
 
0.1%
20000 2
 
0.1%
7000 2
 
0.1%
2000 2
 
0.1%
Other values (71) 77
 
4.1%
2023-12-09T20:42:23.294382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1800
14.8%
l 1800
14.8%
N 900
7.4%
o 900
7.4%
b 900
7.4%
i 900
7.4%
e 900
7.4%
v 900
7.4%
A 900
7.4%
900
7.4%
Other values (11) 1383
11.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9000
73.9%
Uppercase Letter 1800
 
14.8%
Space Separator 900
 
7.4%
Decimal Number 483
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 170
35.2%
1 50
 
10.4%
2 50
 
10.4%
5 44
 
9.1%
3 41
 
8.5%
4 33
 
6.8%
7 30
 
6.2%
6 29
 
6.0%
8 21
 
4.3%
9 15
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1800
20.0%
l 1800
20.0%
o 900
10.0%
b 900
10.0%
i 900
10.0%
e 900
10.0%
v 900
10.0%
t 900
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 900
50.0%
A 900
50.0%
Space Separator
ValueCountFrequency (%)
900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10800
88.6%
Common 1383
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
900
65.1%
0 170
 
12.3%
1 50
 
3.6%
2 50
 
3.6%
5 44
 
3.2%
3 41
 
3.0%
4 33
 
2.4%
7 30
 
2.2%
6 29
 
2.1%
8 21
 
1.5%
Latin
ValueCountFrequency (%)
a 1800
16.7%
l 1800
16.7%
N 900
8.3%
o 900
8.3%
b 900
8.3%
i 900
8.3%
e 900
8.3%
v 900
8.3%
A 900
8.3%
t 900
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1800
14.8%
l 1800
14.8%
N 900
7.4%
o 900
7.4%
b 900
7.4%
i 900
7.4%
e 900
7.4%
v 900
7.4%
A 900
7.4%
900
7.4%
Other values (11) 1383
11.4%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T20:42:23.539936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length11.161
Min length10

Characters and Unicode

Total characters11161
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd row02/28/2017
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 387
27.9%
available 387
27.9%
12/31/2016 384
27.7%
03/31/2017 33
 
2.4%
02/28/2017 30
 
2.2%
01/31/2017 30
 
2.2%
04/30/2017 23
 
1.7%
12/31/2015 22
 
1.6%
12/31/2012 12
 
0.9%
06/30/2017 12
 
0.9%
Other values (22) 67
 
4.8%
2023-12-09T20:42:23.903473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1630
14.6%
/ 1226
11.0%
2 1131
 
10.1%
0 834
 
7.5%
a 774
 
6.9%
l 774
 
6.9%
3 623
 
5.6%
6 411
 
3.7%
e 387
 
3.5%
o 387
 
3.5%
Other values (12) 2984
26.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4904
43.9%
Lowercase Letter 3870
34.7%
Other Punctuation 1226
 
11.0%
Uppercase Letter 774
 
6.9%
Space Separator 387
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1630
33.2%
2 1131
23.1%
0 834
17.0%
3 623
 
12.7%
6 411
 
8.4%
7 165
 
3.4%
8 35
 
0.7%
5 32
 
0.7%
4 31
 
0.6%
9 12
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 774
20.0%
l 774
20.0%
e 387
10.0%
o 387
10.0%
b 387
10.0%
i 387
10.0%
v 387
10.0%
t 387
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 387
50.0%
A 387
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 1226
100.0%
Space Separator
ValueCountFrequency (%)
387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6517
58.4%
Latin 4644
41.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1630
25.0%
/ 1226
18.8%
2 1131
17.4%
0 834
12.8%
3 623
 
9.6%
6 411
 
6.3%
387
 
5.9%
7 165
 
2.5%
8 35
 
0.5%
5 32
 
0.5%
Other values (2) 43
 
0.7%
Latin
ValueCountFrequency (%)
a 774
16.7%
l 774
16.7%
e 387
8.3%
o 387
8.3%
N 387
8.3%
b 387
8.3%
i 387
8.3%
v 387
8.3%
A 387
8.3%
t 387
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1630
14.6%
/ 1226
11.0%
2 1131
 
10.1%
0 834
 
7.5%
a 774
 
6.9%
l 774
 
6.9%
3 623
 
5.6%
6 411
 
3.7%
e 387
 
3.5%
o 387
 
3.5%
Other values (12) 2984
26.7%
Distinct529
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:42:24.386771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.119
Min length1

Characters and Unicode

Total characters9119
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)52.1%

Sample

1st rowNot Available
2nd row3745.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 461
31.6%
available 461
31.6%
0 6
 
0.4%
2405.6 2
 
0.1%
6771.8 2
 
0.1%
10 2
 
0.1%
21144.4 2
 
0.1%
8930.8 2
 
0.1%
3252.5 2
 
0.1%
2754.8 1
 
0.1%
Other values (520) 520
35.6%
2023-12-09T20:42:25.007033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 922
 
10.1%
l 922
 
10.1%
N 461
 
5.1%
. 461
 
5.1%
t 461
 
5.1%
461
 
5.1%
A 461
 
5.1%
v 461
 
5.1%
i 461
 
5.1%
b 461
 
5.1%
Other values (12) 3587
39.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4610
50.6%
Decimal Number 2665
29.2%
Uppercase Letter 922
 
10.1%
Other Punctuation 461
 
5.1%
Space Separator 461
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 368
13.8%
2 300
11.3%
3 284
10.7%
4 281
10.5%
6 267
10.0%
8 258
9.7%
7 243
9.1%
5 240
9.0%
9 228
8.6%
0 196
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 922
20.0%
l 922
20.0%
t 461
10.0%
v 461
10.0%
i 461
10.0%
b 461
10.0%
e 461
10.0%
o 461
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 461
50.0%
A 461
50.0%
Other Punctuation
ValueCountFrequency (%)
. 461
100.0%
Space Separator
ValueCountFrequency (%)
461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5532
60.7%
Common 3587
39.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 461
12.9%
461
12.9%
1 368
10.3%
2 300
8.4%
3 284
7.9%
4 281
7.8%
6 267
7.4%
8 258
7.2%
7 243
6.8%
5 240
6.7%
Other values (2) 424
11.8%
Latin
ValueCountFrequency (%)
a 922
16.7%
l 922
16.7%
N 461
8.3%
t 461
8.3%
A 461
8.3%
v 461
8.3%
i 461
8.3%
b 461
8.3%
e 461
8.3%
o 461
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 922
 
10.1%
l 922
 
10.1%
N 461
 
5.1%
. 461
 
5.1%
t 461
 
5.1%
461
 
5.1%
A 461
 
5.1%
v 461
 
5.1%
i 461
 
5.1%
b 461
 
5.1%
Other values (12) 3587
39.3%
Distinct475
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:42:25.516340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.532
Min length1

Characters and Unicode

Total characters9532
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique467 ?
Unique (%)46.7%

Sample

1st rowNot Available
2nd row3745.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 518
34.1%
available 518
34.1%
0 3
 
0.2%
2405.6 2
 
0.1%
10 2
 
0.1%
6771.8 2
 
0.1%
21144.4 2
 
0.1%
3252.5 2
 
0.1%
8930.8 2
 
0.1%
2754.8 1
 
0.1%
Other values (466) 466
30.7%
2023-12-09T20:42:26.102385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1036
 
10.9%
l 1036
 
10.9%
N 518
 
5.4%
o 518
 
5.4%
e 518
 
5.4%
i 518
 
5.4%
b 518
 
5.4%
v 518
 
5.4%
A 518
 
5.4%
518
 
5.4%
Other values (12) 3316
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5180
54.3%
Decimal Number 2382
25.0%
Uppercase Letter 1036
 
10.9%
Space Separator 518
 
5.4%
Other Punctuation 416
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 329
13.8%
2 266
11.2%
4 259
10.9%
3 257
10.8%
6 237
9.9%
8 224
9.4%
7 222
9.3%
5 210
8.8%
9 207
8.7%
0 171
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1036
20.0%
l 1036
20.0%
o 518
10.0%
e 518
10.0%
i 518
10.0%
b 518
10.0%
v 518
10.0%
t 518
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 518
50.0%
A 518
50.0%
Space Separator
ValueCountFrequency (%)
518
100.0%
Other Punctuation
ValueCountFrequency (%)
. 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6216
65.2%
Common 3316
34.8%

Most frequent character per script

Common
ValueCountFrequency (%)
518
15.6%
. 416
12.5%
1 329
9.9%
2 266
8.0%
4 259
7.8%
3 257
7.8%
6 237
7.1%
8 224
6.8%
7 222
6.7%
5 210
6.3%
Other values (2) 378
11.4%
Latin
ValueCountFrequency (%)
a 1036
16.7%
l 1036
16.7%
N 518
8.3%
o 518
8.3%
e 518
8.3%
i 518
8.3%
b 518
8.3%
v 518
8.3%
A 518
8.3%
t 518
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1036
 
10.9%
l 1036
 
10.9%
N 518
 
5.4%
o 518
 
5.4%
e 518
 
5.4%
i 518
 
5.4%
b 518
 
5.4%
v 518
 
5.4%
A 518
 
5.4%
518
 
5.4%
Other values (12) 3316
34.8%
Distinct469
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:42:26.587434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.107
Min length1

Characters and Unicode

Total characters9107
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)45.5%

Sample

1st rowNot Available
2nd row53.51
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 518
34.1%
available 518
34.1%
0 3
 
0.2%
22.5 2
 
0.1%
43.99 2
 
0.1%
5.21 2
 
0.1%
14.06 2
 
0.1%
8.46 2
 
0.1%
48.25 2
 
0.1%
0.04 2
 
0.1%
Other values (460) 465
30.6%
2023-12-09T20:42:27.224747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1036
 
11.4%
l 1036
 
11.4%
N 518
 
5.7%
t 518
 
5.7%
518
 
5.7%
A 518
 
5.7%
v 518
 
5.7%
i 518
 
5.7%
b 518
 
5.7%
e 518
 
5.7%
Other values (12) 2891
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5180
56.9%
Decimal Number 1901
 
20.9%
Uppercase Letter 1036
 
11.4%
Space Separator 518
 
5.7%
Other Punctuation 472
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 280
14.7%
4 209
11.0%
3 200
10.5%
2 200
10.5%
5 197
10.4%
6 194
10.2%
8 174
9.2%
9 155
8.2%
7 154
8.1%
0 138
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1036
20.0%
l 1036
20.0%
t 518
10.0%
v 518
10.0%
i 518
10.0%
b 518
10.0%
e 518
10.0%
o 518
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 518
50.0%
A 518
50.0%
Space Separator
ValueCountFrequency (%)
518
100.0%
Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6216
68.3%
Common 2891
31.7%

Most frequent character per script

Common
ValueCountFrequency (%)
518
17.9%
. 472
16.3%
1 280
9.7%
4 209
7.2%
3 200
 
6.9%
2 200
 
6.9%
5 197
 
6.8%
6 194
 
6.7%
8 174
 
6.0%
9 155
 
5.4%
Other values (2) 292
10.1%
Latin
ValueCountFrequency (%)
a 1036
16.7%
l 1036
16.7%
N 518
8.3%
t 518
8.3%
A 518
8.3%
v 518
8.3%
i 518
8.3%
b 518
8.3%
e 518
8.3%
o 518
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1036
 
11.4%
l 1036
 
11.4%
N 518
 
5.7%
t 518
 
5.7%
518
 
5.7%
A 518
 
5.7%
v 518
 
5.7%
i 518
 
5.7%
b 518
 
5.7%
e 518
 
5.7%
Other values (12) 2891
31.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:27.441283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.913
Min length3

Characters and Unicode

Total characters12913
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 988
49.7%
available 988
49.7%
9462.2 1
 
0.1%
6987.6 1
 
0.1%
8811.8 1
 
0.1%
8103.3 1
 
0.1%
873 1
 
0.1%
3390.1 1
 
0.1%
11909.6 1
 
0.1%
1254.5 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:42:27.774413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.7%
t 988
7.7%
988
7.7%
A 988
7.7%
v 988
7.7%
i 988
7.7%
b 988
7.7%
e 988
7.7%
Other values (12) 1057
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9880
76.5%
Uppercase Letter 1976
 
15.3%
Space Separator 988
 
7.7%
Decimal Number 59
 
0.5%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 9
15.3%
1 8
13.6%
3 7
11.9%
9 7
11.9%
2 7
11.9%
8 6
10.2%
0 6
10.2%
7 4
6.8%
4 3
 
5.1%
5 2
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1976
20.0%
l 1976
20.0%
t 988
10.0%
v 988
10.0%
i 988
10.0%
b 988
10.0%
e 988
10.0%
o 988
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 988
50.0%
A 988
50.0%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11856
91.8%
Common 1057
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
988
93.5%
. 10
 
0.9%
6 9
 
0.9%
1 8
 
0.8%
3 7
 
0.7%
9 7
 
0.7%
2 7
 
0.7%
8 6
 
0.6%
0 6
 
0.6%
7 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1976
16.7%
l 1976
16.7%
N 988
8.3%
t 988
8.3%
A 988
8.3%
v 988
8.3%
i 988
8.3%
b 988
8.3%
e 988
8.3%
o 988
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.7%
t 988
7.7%
988
7.7%
A 988
7.7%
v 988
7.7%
i 988
7.7%
b 988
7.7%
e 988
7.7%
Other values (12) 1057
8.2%
Distinct47
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:42:28.050879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.634
Min length1

Characters and Unicode

Total characters12634
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)4.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 950
48.7%
available 950
48.7%
0 4
 
0.2%
6186.7 2
 
0.1%
1419.3 1
 
0.1%
2213.8 1
 
0.1%
12514.5 1
 
0.1%
988.5 1
 
0.1%
2810.4 1
 
0.1%
21608.8 1
 
0.1%
Other values (38) 38
 
1.9%
2023-12-09T20:42:28.455027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1900
15.0%
l 1900
15.0%
N 950
7.5%
t 950
7.5%
950
7.5%
A 950
7.5%
v 950
7.5%
i 950
7.5%
b 950
7.5%
e 950
7.5%
Other values (12) 1234
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9500
75.2%
Uppercase Letter 1900
 
15.0%
Space Separator 950
 
7.5%
Decimal Number 243
 
1.9%
Other Punctuation 41
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
14.4%
3 31
12.8%
8 29
11.9%
4 27
11.1%
2 25
10.3%
6 23
9.5%
5 20
8.2%
9 18
7.4%
0 18
7.4%
7 17
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 1900
20.0%
l 1900
20.0%
t 950
10.0%
v 950
10.0%
i 950
10.0%
b 950
10.0%
e 950
10.0%
o 950
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 950
50.0%
A 950
50.0%
Space Separator
ValueCountFrequency (%)
950
100.0%
Other Punctuation
ValueCountFrequency (%)
. 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11400
90.2%
Common 1234
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
950
77.0%
. 41
 
3.3%
1 35
 
2.8%
3 31
 
2.5%
8 29
 
2.4%
4 27
 
2.2%
2 25
 
2.0%
6 23
 
1.9%
5 20
 
1.6%
9 18
 
1.5%
Other values (2) 35
 
2.8%
Latin
ValueCountFrequency (%)
a 1900
16.7%
l 1900
16.7%
N 950
8.3%
t 950
8.3%
A 950
8.3%
v 950
8.3%
i 950
8.3%
b 950
8.3%
e 950
8.3%
o 950
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1900
15.0%
l 1900
15.0%
N 950
7.5%
t 950
7.5%
950
7.5%
A 950
7.5%
v 950
7.5%
i 950
7.5%
b 950
7.5%
e 950
7.5%
Other values (12) 1234
9.8%
Distinct474
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:42:28.869669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.539
Min length1

Characters and Unicode

Total characters9539
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)46.6%

Sample

1st rowNot Available
2nd row3745.7
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 519
34.2%
available 519
34.2%
0 3
 
0.2%
10 2
 
0.1%
6771.8 2
 
0.1%
21144.4 2
 
0.1%
2405.6 2
 
0.1%
3252.5 2
 
0.1%
8930.8 2
 
0.1%
2754.8 1
 
0.1%
Other values (465) 465
30.6%
2023-12-09T20:42:29.410728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1038
 
10.9%
l 1038
 
10.9%
N 519
 
5.4%
o 519
 
5.4%
e 519
 
5.4%
i 519
 
5.4%
b 519
 
5.4%
v 519
 
5.4%
A 519
 
5.4%
519
 
5.4%
Other values (12) 3311
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5190
54.4%
Decimal Number 2377
24.9%
Uppercase Letter 1038
 
10.9%
Space Separator 519
 
5.4%
Other Punctuation 415
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 329
13.8%
2 265
11.1%
4 257
10.8%
3 257
10.8%
6 235
9.9%
8 223
9.4%
7 223
9.4%
5 210
8.8%
9 207
8.7%
0 171
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 1038
20.0%
l 1038
20.0%
o 519
10.0%
e 519
10.0%
i 519
10.0%
b 519
10.0%
v 519
10.0%
t 519
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 519
50.0%
A 519
50.0%
Space Separator
ValueCountFrequency (%)
519
100.0%
Other Punctuation
ValueCountFrequency (%)
. 415
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6228
65.3%
Common 3311
34.7%

Most frequent character per script

Common
ValueCountFrequency (%)
519
15.7%
. 415
12.5%
1 329
9.9%
2 265
8.0%
4 257
7.8%
3 257
7.8%
6 235
7.1%
8 223
6.7%
7 223
6.7%
5 210
6.3%
Other values (2) 378
11.4%
Latin
ValueCountFrequency (%)
a 1038
16.7%
l 1038
16.7%
N 519
8.3%
o 519
8.3%
e 519
8.3%
i 519
8.3%
b 519
8.3%
v 519
8.3%
A 519
8.3%
t 519
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1038
 
10.9%
l 1038
 
10.9%
N 519
 
5.4%
o 519
 
5.4%
e 519
 
5.4%
i 519
 
5.4%
b 519
 
5.4%
v 519
 
5.4%
A 519
 
5.4%
519
 
5.4%
Other values (12) 3311
34.7%
Distinct522
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:42:29.906951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.654
Min length1

Characters and Unicode

Total characters8654
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique507 ?
Unique (%)50.7%

Sample

1st rowNot Available
2nd row53.51
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 461
31.6%
available 461
31.6%
0 6
 
0.4%
55.32 2
 
0.1%
14.06 2
 
0.1%
5.21 2
 
0.1%
16.97 2
 
0.1%
13.79 2
 
0.1%
0.04 2
 
0.1%
48.25 2
 
0.1%
Other values (513) 519
35.5%
2023-12-09T20:42:30.533652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 922
 
10.7%
a 922
 
10.7%
. 527
 
6.1%
N 461
 
5.3%
i 461
 
5.3%
o 461
 
5.3%
e 461
 
5.3%
b 461
 
5.3%
v 461
 
5.3%
A 461
 
5.3%
Other values (12) 3056
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4610
53.3%
Decimal Number 2134
24.7%
Uppercase Letter 922
 
10.7%
Other Punctuation 527
 
6.1%
Space Separator 461
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 312
14.6%
2 228
10.7%
4 225
10.5%
6 225
10.5%
3 221
10.4%
5 217
10.2%
8 194
9.1%
9 179
8.4%
7 176
8.2%
0 157
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 922
20.0%
a 922
20.0%
i 461
10.0%
o 461
10.0%
e 461
10.0%
b 461
10.0%
v 461
10.0%
t 461
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 461
50.0%
A 461
50.0%
Other Punctuation
ValueCountFrequency (%)
. 527
100.0%
Space Separator
ValueCountFrequency (%)
461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5532
63.9%
Common 3122
36.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 527
16.9%
461
14.8%
1 312
10.0%
2 228
7.3%
4 225
7.2%
6 225
7.2%
3 221
7.1%
5 217
7.0%
8 194
 
6.2%
9 179
 
5.7%
Other values (2) 333
10.7%
Latin
ValueCountFrequency (%)
l 922
16.7%
a 922
16.7%
N 461
8.3%
i 461
8.3%
o 461
8.3%
e 461
8.3%
b 461
8.3%
v 461
8.3%
A 461
8.3%
t 461
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 922
 
10.7%
a 922
 
10.7%
. 527
 
6.1%
N 461
 
5.3%
i 461
 
5.3%
o 461
 
5.3%
e 461
 
5.3%
b 461
 
5.3%
v 461
 
5.3%
A 461
 
5.3%
Other values (12) 3056
35.3%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:30.731474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.943
Min length4

Characters and Unicode

Total characters12943
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
9462.2 1
 
0.1%
6987.6 1
 
0.1%
8103.3 1
 
0.1%
3390.1 1
 
0.1%
11909.6 1
 
0.1%
406.7 1
 
0.1%
6669 1
 
0.1%
10302.2 1
 
0.1%
2023-12-09T20:42:31.043100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1039
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.6%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 40
 
0.3%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 8
20.0%
9 6
15.0%
0 6
15.0%
1 5
12.5%
3 5
12.5%
2 4
10.0%
4 2
 
5.0%
8 2
 
5.0%
7 2
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.0%
Common 1039
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
992
95.5%
6 8
 
0.8%
. 7
 
0.7%
9 6
 
0.6%
0 6
 
0.6%
1 5
 
0.5%
3 5
 
0.5%
2 4
 
0.4%
4 2
 
0.2%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12943
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1039
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:31.225018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
07/13/2015 1
 
0.1%
07/01/2011 1
 
0.1%
2023-12-09T20:42:31.525219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
31.2%
1 5
31.2%
7 2
 
12.5%
2 2
 
12.5%
3 1
 
6.2%
5 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
0 5
 
0.5%
1 5
 
0.5%
/ 4
 
0.4%
7 2
 
0.2%
2 2
 
0.2%
3 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:31.697309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length4

Characters and Unicode

Total characters12982
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
leed 2
 
0.1%
2023-12-09T20:42:32.015014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 2004
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
49.8%
A 998
49.8%
E 4
 
0.2%
L 2
 
0.1%
D 2
 
0.1%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11984
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Other values (3) 8
 
0.1%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:32.189049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.994
Min length10

Characters and Unicode

Total characters12994
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
07/13/2015 1
 
0.1%
07/01/2011 1
 
0.1%
2023-12-09T20:42:32.489652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 16
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
31.2%
1 5
31.2%
7 2
 
12.5%
2 2
 
12.5%
3 1
 
6.2%
5 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1018
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.0%
0 5
 
0.5%
1 5
 
0.5%
/ 4
 
0.4%
7 2
 
0.2%
2 2
 
0.2%
3 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1018
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:32.675506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.962
Min length6

Characters and Unicode

Total characters12962
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
1.48017 2
 
0.1%
0.24442 1
 
0.1%
0.0125 1
 
0.1%
0.11744 1
 
0.1%
2.1016 1
 
0.1%
2023-12-09T20:42:33.006797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (10) 1034
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.7%
Uppercase Letter 1988
 
15.3%
Space Separator 994
 
7.7%
Decimal Number 34
 
0.3%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
b 994
10.0%
i 994
10.0%
e 994
10.0%
v 994
10.0%
t 994
10.0%
Decimal Number
ValueCountFrequency (%)
1 9
26.5%
4 7
20.6%
0 7
20.6%
2 4
11.8%
7 3
 
8.8%
8 2
 
5.9%
5 1
 
2.9%
6 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.0%
Common 1034
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
o 994
8.3%
b 994
8.3%
i 994
8.3%
e 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
96.1%
1 9
 
0.9%
4 7
 
0.7%
0 7
 
0.7%
. 6
 
0.6%
2 4
 
0.4%
7 3
 
0.3%
8 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (10) 1034
8.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:33.181654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:42:33.461578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:33.628021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:42:33.906606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:34.098489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.883
Min length1

Characters and Unicode

Total characters12883
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
2 4
 
0.2%
4.09836 1
 
0.1%
3.28054 1
 
0.1%
2.67176 1
 
0.1%
2.99582 1
 
0.1%
2.19491 1
 
0.1%
4.21941 1
 
0.1%
15.54741 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:42:34.418005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1063
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.5%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 67
 
0.5%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17
25.4%
1 8
11.9%
4 7
10.4%
9 7
10.4%
8 5
 
7.5%
3 5
 
7.5%
6 5
 
7.5%
5 5
 
7.5%
7 5
 
7.5%
0 3
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.7%
Common 1063
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.7%
2 17
 
1.6%
. 11
 
1.0%
1 8
 
0.8%
4 7
 
0.7%
9 7
 
0.7%
8 5
 
0.5%
3 5
 
0.5%
6 5
 
0.5%
5 5
 
0.5%
Other values (2) 8
 
0.8%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1063
8.3%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:42:34.605148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length1

Characters and Unicode

Total characters12888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
1.584 8
 
0.4%
0 1
 
0.1%
2.01534 1
 
0.1%
0.81331 1
 
0.1%
0.84818 1
 
0.1%
1.03189 1
 
0.1%
1.99757 1
 
0.1%
0.80653 1
 
0.1%
2023-12-09T20:42:34.910530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1068
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.4%
Uppercase Letter 1970
 
15.3%
Space Separator 985
 
7.6%
Decimal Number 69
 
0.5%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
21.7%
8 14
20.3%
5 11
15.9%
4 10
14.5%
0 7
10.1%
3 5
 
7.2%
9 3
 
4.3%
7 2
 
2.9%
2 1
 
1.4%
6 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 985
10.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.7%
Common 1068
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
985
92.2%
1 15
 
1.4%
. 14
 
1.3%
8 14
 
1.3%
5 11
 
1.0%
4 10
 
0.9%
0 7
 
0.7%
3 5
 
0.5%
9 3
 
0.3%
7 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
o 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 985
7.6%
o 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
Other values (12) 1068
8.3%
Distinct811
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:42:35.400396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.787
Min length1

Characters and Unicode

Total characters4787
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique669 ?
Unique (%)66.9%

Sample

1st row258.7
2nd row380.5
3rd row213.8
4th rowNot Available
5th row272.6
ValueCountFrequency (%)
not 35
 
3.4%
available 35
 
3.4%
134 4
 
0.4%
11.8 3
 
0.3%
140.6 3
 
0.3%
115.4 3
 
0.3%
89.2 3
 
0.3%
154.5 3
 
0.3%
114.4 3
 
0.3%
72.2 3
 
0.3%
Other values (802) 940
90.8%
2023-12-09T20:42:36.020455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 882
18.4%
1 734
15.3%
2 463
9.7%
3 319
 
6.7%
4 316
 
6.6%
8 295
 
6.2%
5 289
 
6.0%
7 280
 
5.8%
9 279
 
5.8%
6 267
 
5.6%
Other values (12) 663
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3450
72.1%
Other Punctuation 882
 
18.4%
Lowercase Letter 350
 
7.3%
Uppercase Letter 70
 
1.5%
Space Separator 35
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 734
21.3%
2 463
13.4%
3 319
9.2%
4 316
9.2%
8 295
8.6%
5 289
 
8.4%
7 280
 
8.1%
9 279
 
8.1%
6 267
 
7.7%
0 208
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 70
20.0%
l 70
20.0%
t 35
10.0%
o 35
10.0%
e 35
10.0%
b 35
10.0%
i 35
10.0%
v 35
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 35
50.0%
N 35
50.0%
Other Punctuation
ValueCountFrequency (%)
. 882
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4367
91.2%
Latin 420
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 882
20.2%
1 734
16.8%
2 463
10.6%
3 319
 
7.3%
4 316
 
7.2%
8 295
 
6.8%
5 289
 
6.6%
7 280
 
6.4%
9 279
 
6.4%
6 267
 
6.1%
Other values (2) 243
 
5.6%
Latin
ValueCountFrequency (%)
a 70
16.7%
l 70
16.7%
t 35
8.3%
A 35
8.3%
o 35
8.3%
e 35
8.3%
b 35
8.3%
i 35
8.3%
v 35
8.3%
N 35
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 882
18.4%
1 734
15.3%
2 463
9.7%
3 319
 
6.7%
4 316
 
6.6%
8 295
 
6.2%
5 289
 
6.0%
7 280
 
5.8%
9 279
 
5.8%
6 267
 
5.6%
Other values (12) 663
13.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:42:36.206839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:42:36.479965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct682
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size62.0 KiB
2023-12-09T20:42:36.983235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length6.394
Min length1

Characters and Unicode

Total characters6394
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)60.0%

Sample

1st row258.7
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 223
 
18.2%
available 223
 
18.2%
134 4
 
0.3%
88.6 3
 
0.2%
140.6 3
 
0.2%
89 3
 
0.2%
90 3
 
0.2%
104.3 3
 
0.2%
118.7 3
 
0.2%
93.5 3
 
0.2%
Other values (673) 752
61.5%
2023-12-09T20:42:37.636718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 705
 
11.0%
1 621
 
9.7%
a 446
 
7.0%
l 446
 
7.0%
2 354
 
5.5%
3 263
 
4.1%
4 246
 
3.8%
8 245
 
3.8%
7 228
 
3.6%
9 225
 
3.5%
Other values (12) 2615
40.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2790
43.6%
Lowercase Letter 2230
34.9%
Other Punctuation 705
 
11.0%
Uppercase Letter 446
 
7.0%
Space Separator 223
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 621
22.3%
2 354
12.7%
3 263
9.4%
4 246
 
8.8%
8 245
 
8.8%
7 228
 
8.2%
9 225
 
8.1%
6 223
 
8.0%
5 217
 
7.8%
0 168
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 446
20.0%
l 446
20.0%
t 223
10.0%
v 223
10.0%
o 223
10.0%
e 223
10.0%
b 223
10.0%
i 223
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 223
50.0%
N 223
50.0%
Other Punctuation
ValueCountFrequency (%)
. 705
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3718
58.1%
Latin 2676
41.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 705
19.0%
1 621
16.7%
2 354
9.5%
3 263
 
7.1%
4 246
 
6.6%
8 245
 
6.6%
7 228
 
6.1%
9 225
 
6.1%
6 223
 
6.0%
223
 
6.0%
Other values (2) 385
10.4%
Latin
ValueCountFrequency (%)
a 446
16.7%
l 446
16.7%
A 223
8.3%
t 223
8.3%
v 223
8.3%
o 223
8.3%
e 223
8.3%
b 223
8.3%
i 223
8.3%
N 223
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 705
 
11.0%
1 621
 
9.7%
a 446
 
7.0%
l 446
 
7.0%
2 354
 
5.5%
3 263
 
4.1%
4 246
 
3.8%
8 245
 
3.8%
7 228
 
3.6%
9 225
 
3.5%
Other values (12) 2615
40.9%
Distinct135
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:42:38.071858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.747
Min length1

Characters and Unicode

Total characters11747
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)12.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 831
45.4%
available 831
45.4%
2 30
 
1.6%
0 4
 
0.2%
5.35714 2
 
0.1%
2.14286 2
 
0.1%
1.66667 2
 
0.1%
1.73892 1
 
0.1%
1.07083 1
 
0.1%
1.6001 1
 
0.1%
Other values (126) 126
 
6.9%
2023-12-09T20:42:38.631055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1662
14.1%
l 1662
14.1%
N 831
7.1%
o 831
7.1%
t 831
7.1%
831
7.1%
A 831
7.1%
v 831
7.1%
i 831
7.1%
b 831
7.1%
Other values (12) 1775
15.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8310
70.7%
Uppercase Letter 1662
 
14.1%
Space Separator 831
 
7.1%
Decimal Number 811
 
6.9%
Other Punctuation 133
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 134
16.5%
1 119
14.7%
3 91
11.2%
6 83
10.2%
8 75
9.2%
4 72
8.9%
0 71
8.8%
9 57
7.0%
5 55
6.8%
7 54
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1662
20.0%
l 1662
20.0%
o 831
10.0%
t 831
10.0%
v 831
10.0%
i 831
10.0%
b 831
10.0%
e 831
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 831
50.0%
A 831
50.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
. 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9972
84.9%
Common 1775
 
15.1%

Most frequent character per script

Common
ValueCountFrequency (%)
831
46.8%
2 134
 
7.5%
. 133
 
7.5%
1 119
 
6.7%
3 91
 
5.1%
6 83
 
4.7%
8 75
 
4.2%
4 72
 
4.1%
0 71
 
4.0%
9 57
 
3.2%
Other values (2) 109
 
6.1%
Latin
ValueCountFrequency (%)
a 1662
16.7%
l 1662
16.7%
N 831
8.3%
o 831
8.3%
t 831
8.3%
A 831
8.3%
v 831
8.3%
i 831
8.3%
b 831
8.3%
e 831
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1662
14.1%
l 1662
14.1%
N 831
7.1%
o 831
7.1%
t 831
7.1%
831
7.1%
A 831
7.1%
v 831
7.1%
i 831
7.1%
b 831
7.1%
Other values (12) 1775
15.1%
Distinct733
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:42:38.926151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique570 ?
Unique (%)57.0%

Sample

1st row2018-02-01T16:24:22.000
2nd row2018-02-01T15:21:51.000
3rd row2018-01-31T23:38:36.000
4th row2018-01-31T23:38:36.000
5th row2018-01-31T23:38:37.000
ValueCountFrequency (%)
2017-07-26t14:26:31.000 6
 
0.6%
2017-07-26t14:26:27.000 5
 
0.5%
2017-07-26t14:26:29.000 5
 
0.5%
2017-06-02t11:03:30.000 5
 
0.5%
2017-06-02t10:48:08.000 5
 
0.5%
2017-08-01t16:10:28.000 5
 
0.5%
2017-06-12t11:20:09.000 5
 
0.5%
2017-07-13t10:26:07.000 4
 
0.4%
2017-06-02t10:54:25.000 4
 
0.4%
2017-10-30t14:52:07.000 4
 
0.4%
Other values (723) 952
95.2%
2023-12-09T20:42:39.334945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6144
26.7%
1 3240
14.1%
2 2255
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
7 1523
 
6.6%
T 1000
 
4.3%
. 1000
 
4.3%
3 818
 
3.6%
6 787
 
3.4%
Other values (4) 2233
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6144
36.1%
1 3240
19.1%
2 2255
 
13.3%
7 1523
 
9.0%
3 818
 
4.8%
6 787
 
4.6%
4 747
 
4.4%
5 648
 
3.8%
8 477
 
2.8%
9 361
 
2.1%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6144
27.9%
1 3240
14.7%
2 2255
 
10.2%
- 2000
 
9.1%
: 2000
 
9.1%
7 1523
 
6.9%
. 1000
 
4.5%
3 818
 
3.7%
6 787
 
3.6%
4 747
 
3.4%
Other values (3) 1486
 
6.8%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6144
26.7%
1 3240
14.1%
2 2255
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
7 1523
 
6.6%
T 1000
 
4.3%
. 1000
 
4.3%
3 818
 
3.6%
6 787
 
3.4%
Other values (4) 2233
 
9.7%
Distinct579
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:42:39.654539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique489 ?
Unique (%)48.9%

Sample

1st row2018-02-01T16:24:42.000
2nd row2018-02-01T15:24:50.000
3rd row2018-01-31T23:39:32.000
4th row2018-01-31T23:39:32.000
5th row2018-01-31T23:39:32.000
ValueCountFrequency (%)
2017-06-02t10:55:11.000 45
 
4.5%
2017-07-26t14:28:23.000 41
 
4.1%
2017-06-02t11:13:51.000 28
 
2.8%
2017-06-02t10:49:08.000 22
 
2.2%
2017-07-31t10:11:21.000 21
 
2.1%
2017-06-12t10:34:22.000 19
 
1.9%
2017-06-12t11:22:35.000 16
 
1.6%
2017-10-30t14:56:35.000 13
 
1.3%
2017-08-01t13:18:08.000 10
 
1.0%
2017-08-28t15:14:36.000 10
 
1.0%
Other values (569) 775
77.5%
2023-12-09T20:42:40.082804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6088
26.5%
1 3398
14.8%
2 2258
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
7 1530
 
6.7%
T 1000
 
4.3%
. 1000
 
4.3%
3 797
 
3.5%
5 769
 
3.3%
Other values (4) 2160
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6088
35.8%
1 3398
20.0%
2 2258
 
13.3%
7 1530
 
9.0%
3 797
 
4.7%
5 769
 
4.5%
6 703
 
4.1%
4 625
 
3.7%
8 499
 
2.9%
9 333
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6088
27.7%
1 3398
15.4%
2 2258
 
10.3%
- 2000
 
9.1%
: 2000
 
9.1%
7 1530
 
7.0%
. 1000
 
4.5%
3 797
 
3.6%
5 769
 
3.5%
6 703
 
3.2%
Other values (3) 1457
 
6.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6088
26.5%
1 3398
14.8%
2 2258
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
7 1530
 
6.7%
T 1000
 
4.3%
. 1000
 
4.3%
3 797
 
3.5%
5 769
 
3.3%
Other values (4) 2160
 
9.4%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing44
Missing (%)4.4%
Memory size61.8 KiB
2023-12-09T20:42:40.267825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.542887029
Min length5

Characters and Unicode

Total characters7211
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBROOKLYN
2nd rowBRONX
3rd rowBRONX
4th rowBRONX
5th rowBRONX
ValueCountFrequency (%)
manhattan 369
37.7%
brooklyn 218
22.3%
queens 213
21.8%
bronx 134
 
13.7%
staten 22
 
2.2%
is 22
 
2.2%
2023-12-09T20:42:40.574385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1325
18.4%
A 1129
15.7%
T 782
10.8%
O 570
7.9%
E 448
 
6.2%
M 369
 
5.1%
H 369
 
5.1%
B 352
 
4.9%
R 352
 
4.9%
S 257
 
3.6%
Other values (8) 1258
17.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7189
99.7%
Space Separator 22
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1325
18.4%
A 1129
15.7%
T 782
10.9%
O 570
7.9%
E 448
 
6.2%
M 369
 
5.1%
H 369
 
5.1%
B 352
 
4.9%
R 352
 
4.9%
S 257
 
3.6%
Other values (7) 1236
17.2%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7189
99.7%
Common 22
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1325
18.4%
A 1129
15.7%
T 782
10.9%
O 570
7.9%
E 448
 
6.2%
M 369
 
5.1%
H 369
 
5.1%
B 352
 
4.9%
R 352
 
4.9%
S 257
 
3.6%
Other values (7) 1236
17.2%
Common
ValueCountFrequency (%)
22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1325
18.4%
A 1129
15.7%
T 782
10.8%
O 570
7.9%
E 448
 
6.2%
M 369
 
5.1%
H 369
 
5.1%
B 352
 
4.9%
R 352
 
4.9%
S 257
 
3.6%
Other values (8) 1258
17.4%

latitude
Text

MISSING 

Distinct887
Distinct (%)92.9%
Missing45
Missing (%)4.5%
Memory size63.0 KiB
2023-12-09T20:42:40.990911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.902617801
Min length7

Characters and Unicode

Total characters8502
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique844 ?
Unique (%)88.4%

Sample

1st row40.667414
2nd row40.819186
3rd row40.853911
4th row40.851605
5th row40.853237
ValueCountFrequency (%)
40.841727 4
 
0.4%
40.694013 4
 
0.4%
40.697916 3
 
0.3%
40.670245 3
 
0.3%
40.675027 3
 
0.3%
40.826805 3
 
0.3%
40.636717 3
 
0.3%
40.725076 3
 
0.3%
40.594125 3
 
0.3%
40.788359 3
 
0.3%
Other values (877) 923
96.6%
2023-12-09T20:42:41.553032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1484
17.5%
0 1362
16.0%
7 995
11.7%
. 955
11.2%
6 689
8.1%
8 619
7.3%
5 567
 
6.7%
1 485
 
5.7%
3 474
 
5.6%
2 464
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7547
88.8%
Other Punctuation 955
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1484
19.7%
0 1362
18.0%
7 995
13.2%
6 689
9.1%
8 619
8.2%
5 567
 
7.5%
1 485
 
6.4%
3 474
 
6.3%
2 464
 
6.1%
9 408
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 955
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8502
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1484
17.5%
0 1362
16.0%
7 995
11.7%
. 955
11.2%
6 689
8.1%
8 619
7.3%
5 567
 
6.7%
1 485
 
5.7%
3 474
 
5.6%
2 464
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8502
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1484
17.5%
0 1362
16.0%
7 995
11.7%
. 955
11.2%
6 689
8.1%
8 619
7.3%
5 567
 
6.7%
1 485
 
5.7%
3 474
 
5.6%
2 464
 
5.5%

longitude
Text

MISSING 

Distinct887
Distinct (%)92.9%
Missing45
Missing (%)4.5%
Memory size63.9 KiB
2023-12-09T20:42:41.937139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.893193717
Min length6

Characters and Unicode

Total characters9448
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique844 ?
Unique (%)88.4%

Sample

1st row-73.860358
2nd row-73.848055
3rd row-73.891083
4th row-73.893226
5th row-73.891742
ValueCountFrequency (%)
73.97383 4
 
0.4%
73.85979 4
 
0.4%
73.935697 3
 
0.3%
74.1193 3
 
0.3%
73.898525 3
 
0.3%
73.904918 3
 
0.3%
73.904108 3
 
0.3%
73.950862 3
 
0.3%
73.989864 3
 
0.3%
73.99254 3
 
0.3%
Other values (877) 923
96.6%
2023-12-09T20:42:42.458164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1474
15.6%
3 1342
14.2%
9 1159
12.3%
- 955
10.1%
. 955
10.1%
8 762
8.1%
4 544
 
5.8%
5 513
 
5.4%
2 452
 
4.8%
0 435
 
4.6%
Other values (2) 857
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7538
79.8%
Dash Punctuation 955
 
10.1%
Other Punctuation 955
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1474
19.6%
3 1342
17.8%
9 1159
15.4%
8 762
10.1%
4 544
 
7.2%
5 513
 
6.8%
2 452
 
6.0%
0 435
 
5.8%
1 435
 
5.8%
6 422
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 955
100.0%
Other Punctuation
ValueCountFrequency (%)
. 955
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9448
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1474
15.6%
3 1342
14.2%
9 1159
12.3%
- 955
10.1%
. 955
10.1%
8 762
8.1%
4 544
 
5.8%
5 513
 
5.4%
2 452
 
4.8%
0 435
 
4.6%
Other values (2) 857
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1474
15.6%
3 1342
14.2%
9 1159
12.3%
- 955
10.1%
. 955
10.1%
8 762
8.1%
4 544
 
5.8%
5 513
 
5.4%
2 452
 
4.8%
0 435
 
4.6%
Other values (2) 857
9.1%

community_board
Text

MISSING 

Distinct59
Distinct (%)6.2%
Missing45
Missing (%)4.5%
Memory size57.5 KiB
2023-12-09T20:42:42.720527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2865
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row305
2nd row209
3rd row206
4th row206
5th row206
ValueCountFrequency (%)
105 96
 
10.1%
104 42
 
4.4%
407 40
 
4.2%
412 34
 
3.6%
302 30
 
3.1%
107 28
 
2.9%
108 28
 
2.9%
106 28
 
2.9%
301 28
 
2.9%
101 26
 
2.7%
Other values (49) 575
60.2%
2023-12-09T20:42:43.088472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 767
26.8%
1 742
25.9%
3 310
10.8%
4 298
 
10.4%
2 275
 
9.6%
5 190
 
6.6%
7 94
 
3.3%
6 71
 
2.5%
8 60
 
2.1%
9 58
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2865
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 767
26.8%
1 742
25.9%
3 310
10.8%
4 298
 
10.4%
2 275
 
9.6%
5 190
 
6.6%
7 94
 
3.3%
6 71
 
2.5%
8 60
 
2.1%
9 58
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 767
26.8%
1 742
25.9%
3 310
10.8%
4 298
 
10.4%
2 275
 
9.6%
5 190
 
6.6%
7 94
 
3.3%
6 71
 
2.5%
8 60
 
2.1%
9 58
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 767
26.8%
1 742
25.9%
3 310
10.8%
4 298
 
10.4%
2 275
 
9.6%
5 190
 
6.6%
7 94
 
3.3%
6 71
 
2.5%
8 60
 
2.1%
9 58
 
2.0%

council_district
Text

MISSING 

Distinct51
Distinct (%)5.3%
Missing45
Missing (%)4.5%
Memory size56.2 KiB
2023-12-09T20:42:43.327536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.62408377
Min length1

Characters and Unicode

Total characters1551
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row42
2nd row18
3rd row15
4th row15
5th row15
ValueCountFrequency (%)
3 87
 
9.1%
4 75
 
7.9%
1 48
 
5.0%
2 43
 
4.5%
33 34
 
3.6%
26 27
 
2.8%
20 27
 
2.8%
24 26
 
2.7%
48 26
 
2.7%
9 24
 
2.5%
Other values (41) 538
56.3%
2023-12-09T20:42:43.673168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 291
18.8%
4 268
17.3%
1 267
17.2%
2 236
15.2%
5 94
 
6.1%
6 87
 
5.6%
9 87
 
5.6%
8 85
 
5.5%
0 83
 
5.4%
7 53
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1551
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 291
18.8%
4 268
17.3%
1 267
17.2%
2 236
15.2%
5 94
 
6.1%
6 87
 
5.6%
9 87
 
5.6%
8 85
 
5.5%
0 83
 
5.4%
7 53
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1551
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 291
18.8%
4 268
17.3%
1 267
17.2%
2 236
15.2%
5 94
 
6.1%
6 87
 
5.6%
9 87
 
5.6%
8 85
 
5.5%
0 83
 
5.4%
7 53
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 291
18.8%
4 268
17.3%
1 267
17.2%
2 236
15.2%
5 94
 
6.1%
6 87
 
5.6%
9 87
 
5.6%
8 85
 
5.5%
0 83
 
5.4%
7 53
 
3.4%

census_tract
Text

MISSING 

Distinct440
Distinct (%)46.1%
Missing45
Missing (%)4.5%
Memory size57.6 KiB
2023-12-09T20:42:44.167906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.118324607
Min length1

Characters and Unicode

Total characters2978
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)24.2%

Sample

1st row1220
2nd row90
3rd row37504
4th row37504
5th row385
ValueCountFrequency (%)
153 10
 
1.0%
74 9
 
0.9%
219 9
 
0.9%
21502 8
 
0.8%
95 8
 
0.8%
90 8
 
0.8%
104 8
 
0.8%
7 7
 
0.7%
25 7
 
0.7%
15 7
 
0.7%
Other values (430) 874
91.5%
2023-12-09T20:42:44.789401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 560
18.8%
2 413
13.9%
0 345
11.6%
3 280
9.4%
5 271
9.1%
4 271
9.1%
9 236
7.9%
7 208
 
7.0%
8 198
 
6.6%
6 196
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2978
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 560
18.8%
2 413
13.9%
0 345
11.6%
3 280
9.4%
5 271
9.1%
4 271
9.1%
9 236
7.9%
7 208
 
7.0%
8 198
 
6.6%
6 196
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 2978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 560
18.8%
2 413
13.9%
0 345
11.6%
3 280
9.4%
5 271
9.1%
4 271
9.1%
9 236
7.9%
7 208
 
7.0%
8 198
 
6.6%
6 196
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 560
18.8%
2 413
13.9%
0 345
11.6%
3 280
9.4%
5 271
9.1%
4 271
9.1%
9 236
7.9%
7 208
 
7.0%
8 198
 
6.6%
6 196
 
6.6%

nta
Text

MISSING 

Distinct156
Distinct (%)16.3%
Missing45
Missing (%)4.5%
Memory size74.7 KiB
2023-12-09T20:42:45.063159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length39
Mean length21.45549738
Min length6

Characters and Unicode

Total characters20490
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.2%

Sample

1st rowEast New York
2nd rowSoundview-Castle Hill-Clason Point-Harding Park
3rd rowEast Tremont
4th rowEast Tremont
5th rowClaremont-Bathgate
ValueCountFrequency (%)
south 112
 
4.9%
east 91
 
4.0%
midtown-midtown 74
 
3.3%
heights 74
 
3.3%
square 66
 
2.9%
north 55
 
2.4%
park 53
 
2.3%
hill 52
 
2.3%
hudson 46
 
2.0%
yards-chelsea-flatiron-union 46
 
2.0%
Other values (211) 1595
70.5%
2023-12-09T20:42:45.492755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1543
 
7.5%
t 1455
 
7.1%
o 1391
 
6.8%
a 1390
 
6.8%
1309
 
6.4%
n 1252
 
6.1%
r 1239
 
6.0%
i 1234
 
6.0%
s 993
 
4.8%
l 972
 
4.7%
Other values (45) 7712
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15278
74.6%
Uppercase Letter 3117
 
15.2%
Space Separator 1309
 
6.4%
Dash Punctuation 746
 
3.6%
Other Punctuation 20
 
0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1543
10.1%
t 1455
9.5%
o 1391
9.1%
a 1390
9.1%
n 1252
 
8.2%
r 1239
 
8.1%
i 1234
 
8.1%
s 993
 
6.5%
l 972
 
6.4%
h 623
 
4.1%
Other values (15) 3186
20.9%
Uppercase Letter
ValueCountFrequency (%)
H 411
13.2%
M 343
11.0%
S 341
10.9%
C 293
 
9.4%
B 266
 
8.5%
P 168
 
5.4%
F 138
 
4.4%
E 132
 
4.2%
N 119
 
3.8%
W 116
 
3.7%
Other values (14) 790
25.3%
Other Punctuation
ValueCountFrequency (%)
. 16
80.0%
' 4
 
20.0%
Space Separator
ValueCountFrequency (%)
1309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 746
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18395
89.8%
Common 2095
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1543
 
8.4%
t 1455
 
7.9%
o 1391
 
7.6%
a 1390
 
7.6%
n 1252
 
6.8%
r 1239
 
6.7%
i 1234
 
6.7%
s 993
 
5.4%
l 972
 
5.3%
h 623
 
3.4%
Other values (39) 6303
34.3%
Common
ValueCountFrequency (%)
1309
62.5%
- 746
35.6%
. 16
 
0.8%
( 10
 
0.5%
) 10
 
0.5%
' 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1543
 
7.5%
t 1455
 
7.1%
o 1391
 
6.8%
a 1390
 
6.8%
1309
 
6.4%
n 1252
 
6.1%
r 1239
 
6.0%
i 1234
 
6.0%
s 993
 
4.8%
l 972
 
4.7%
Other values (45) 7712
37.6%